Category: Trusted Open Source

Systematic evaluation of open-source projects through verified metrics — GitHub activity, community health, and industry impact. Data-driven rankings using reproducible methodology applied to the top repositories of 2026.

Open Source LLM Explainability: Interpreting GPT, Llama, and Mistral Decisions

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.20214595  13stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted0%○≥80% from verified, high-quality sources
[a]DOI0%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic0%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References2 refs○Minimum 10 references required
[w]Words [REQ]0✗Minimum 2,000 words for a full research article. Current: 0
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20214595
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]0%✗≥60% of references from 2025–2026. Current: 0%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (1 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.20214595 13stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted0%○≥80% from verified, high-quality sources
[a]DOI0%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic0%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References2 refs○Minimum 10 references required
[w]Words [REQ]0✗Minimum 2,000 words for a full research article. Current: 0
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20214595
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]0%✗≥60% of references from 2025–2026. Current: 0%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams0○Mermaid architecture/flow diagrams. Current: 0
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (1 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
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Trusted Open Source AI in Healthcare: Curated Stack for Clinical AI

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.20151156  70stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources50%○≥80% from editorially reviewed sources
[t]Trusted93%✓≥80% from verified, high-quality sources
[a]DOI79%○≥80% have a Digital Object Identifier
[b]CrossRef64%○≥80% indexed in CrossRef
[i]Indexed57%○≥80% have metadata indexed
[l]Academic86%✓≥80% from journals/conferences/preprints
[f]Free Access93%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]1,703✗Minimum 2,000 words for a full research article. Current: 1,703
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20151156
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]77%✓≥60% of references from 2025–2026. Current: 77%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (83 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

Open-source AI technologies are rapidly transforming healthcare, especially in clinical decision support (CDS) where timely, transparent, and auditable models are essential [1]. Despite this momentum, trust in open-source solutions remains fragmented due to limited standardized evaluation frameworks and provenance tracking [2]. To address these challenges, we introduce a curated stack that aggr...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.20151156 70stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources50%○≥80% from editorially reviewed sources
[t]Trusted93%✓≥80% from verified, high-quality sources
[a]DOI79%○≥80% have a Digital Object Identifier
[b]CrossRef64%○≥80% indexed in CrossRef
[i]Indexed57%○≥80% have metadata indexed
[l]Academic86%✓≥80% from journals/conferences/preprints
[f]Free Access93%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]1,703✗Minimum 2,000 words for a full research article. Current: 1,703
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20151156
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]77%✓≥60% of references from 2025–2026. Current: 77%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (83 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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The Open Source XAI Ecosystem: Gaps, Opportunities, and Trusted Projects to Watch

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.20115253  64stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources3%○≥80% from editorially reviewed sources
[t]Trusted84%✓≥80% from verified, high-quality sources
[a]DOI78%○≥80% have a Digital Object Identifier
[b]CrossRef3%○≥80% indexed in CrossRef
[i]Indexed5%○≥80% have metadata indexed
[l]Academic81%✓≥80% from journals/conferences/preprints
[f]Free Access89%✓≥80% are freely accessible
[r]References37 refs✓Minimum 10 references required
[w]Words [REQ]2,239✓Minimum 2,000 words for a full research article. Current: 2,239
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20115253
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]67%✓≥60% of references from 2025–2026. Current: 67%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (63 × 60%) + Required (4/5 × 30%) + Optional (1/4 × 10%)

Explainable Artificial Intelligence (XAI) has moved from niche academic curiosity to a cornerstone of responsible AI deployment in enterprises worldwide. Recent industry surveys indicate that 68% of Fortune 500 companies now require interpretability mechanisms for any production model, yet only 24% of open-source AI libraries provide robust, production-grade explanation tools (see [1], [2], [3]...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.20115253 64stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources3%○≥80% from editorially reviewed sources
[t]Trusted84%✓≥80% from verified, high-quality sources
[a]DOI78%○≥80% have a Digital Object Identifier
[b]CrossRef3%○≥80% indexed in CrossRef
[i]Indexed5%○≥80% have metadata indexed
[l]Academic81%✓≥80% from journals/conferences/preprints
[f]Free Access89%✓≥80% are freely accessible
[r]References37 refs✓Minimum 10 references required
[w]Words [REQ]2,239✓Minimum 2,000 words for a full research article. Current: 2,239
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20115253
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]67%✓≥60% of references from 2025–2026. Current: 67%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (63 × 60%) + Required (4/5 × 30%) + Optional (1/4 × 10%)
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Open Source XAI Libraries: Trust Analysis of SHAP, LIME, DiCE, and Alibi

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.20047105  56stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources4%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI46%○≥80% have a Digital Object Identifier
[b]CrossRef8%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic54%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References26 refs✓Minimum 10 references required
[w]Words [REQ]2,909✓Minimum 2,000 words for a full research article. Current: 2,909
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20047105
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]32%✗≥60% of references from 2025–2026. Current: 32%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code✓✓Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)

Explainable AI (XAI) has matured from exploratory research into a production-critical capability for high-stakes machine l[REDACTED]g systems. This article conducts a systematic trust analysis of the four most widely adopted open-source XAI libraries: SHAP, LIME, DiCE, and Alibi. We frame the inquiry around three research questions: (1) How do these libraries compare across community activity, ...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.20047105 56stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources4%○≥80% from editorially reviewed sources
[t]Trusted88%✓≥80% from verified, high-quality sources
[a]DOI46%○≥80% have a Digital Object Identifier
[b]CrossRef8%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic54%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References26 refs✓Minimum 10 references required
[w]Words [REQ]2,909✓Minimum 2,000 words for a full research article. Current: 2,909
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20047105
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]32%✗≥60% of references from 2025–2026. Current: 32%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code✓✓Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
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Fresh Repositories Watch: Cybersecurity — Threat Detection and Response Frameworks

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19596258  39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted70%○≥80% from verified, high-quality sources
[a]DOI10%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic20%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References10 refs✓Minimum 10 references required
[w]Words [REQ]1,667✗Minimum 2,000 words for a full research article. Current: 1,667
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19596258
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts5✓Original data charts from reproducible analysis (min 2). Current: 5
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)

This article investigates the landscape of AI-powered cybersecurity frameworks for open source threat detection and response. We examine three research questions: (1) how AI-driven threat detection compares to manual approaches in terms of accuracy and speed, (2) what vulnerability patterns dominate in open source projects in 2025-2026, and (3) how security tool adoption correlates with trust s...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19596258 39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted70%○≥80% from verified, high-quality sources
[a]DOI10%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic20%○≥80% from journals/conferences/preprints
[f]Free Access100%✓≥80% are freely accessible
[r]References10 refs✓Minimum 10 references required
[w]Words [REQ]1,667✗Minimum 2,000 words for a full research article. Current: 1,667
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19596258
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]33%✗≥60% of references from 2025–2026. Current: 33%
[c]Data Charts5✓Original data charts from reproducible analysis (min 2). Current: 5
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (32 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)
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Annual Review: The 2026 Trusted Open Source Index — Final Rankings and Methodology Retrospective

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Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19497465  45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources9%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI17%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic48%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]887✗Minimum 2,000 words for a full research article. Current: 887
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497465
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)

The 2026 Trusted Open Source Index provides a comprehensive ranking of open‑source projects across security, maintenance, community, and licensing dimensions. This annual review presents the final rankings for 2026, evaluates methodological improvements that increased predictive validity, and identifies categories with the strongest trust‑score growth. Our analysis of 1,200+ projects shows that...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19497465 45stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources9%○≥80% from editorially reviewed sources
[t]Trusted74%○≥80% from verified, high-quality sources
[a]DOI17%○≥80% have a Digital Object Identifier
[b]CrossRef13%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic48%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]887✗Minimum 2,000 words for a full research article. Current: 887
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19497465
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]50%✗≥60% of references from 2025–2026. Current: 50%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)
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The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19489083  44stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access86%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]77%✓≥60% of references from 2025–2026. Current: 77%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (21 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

— title: “The Fork Problem: When Community Splits Signal Innovation vs. Fragmentation” author: “Oleh Ivchenko” series: “Trusted Open Source” — ## Abstract Open source software forks have long been viewed as existential threats to project stability, yet evidence increasingly suggests that forks serve dual roles: catalysts for innovation and sources...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19489083 44stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic21%○≥80% from journals/conferences/preprints
[f]Free Access86%✓≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,062✓Minimum 2,000 words for a full research article. Current: 2,062
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19489083
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]77%✓≥60% of references from 2025–2026. Current: 77%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (21 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Fresh Repositories Watch: Telecommunications — Network Optimization and 5G Tools

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19483272  51stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted58%○≥80% from verified, high-quality sources
[a]DOI16%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic42%○≥80% from journals/conferences/preprints
[f]Free Access95%✓≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]2,475✓Minimum 2,000 words for a full research article. Current: 2,475
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19483272
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]87%✓≥60% of references from 2025–2026. Current: 87%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

Open-source telecommunications infrastructure is undergoing a fundamental shift from proprietary lock-in toward community-driven, interoperable platforms. This article presents the eighteenth installment of the Fresh Repositories Watch series, examining newly emerged and rapidly maturing open-source tools for 5G network simulation, Open Radio Access Network (Open RAN) deployment, and AI-powered...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19483272 51stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted58%○≥80% from verified, high-quality sources
[a]DOI16%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic42%○≥80% from journals/conferences/preprints
[f]Free Access95%✓≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]2,475✓Minimum 2,000 words for a full research article. Current: 2,475
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19483272
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]87%✓≥60% of references from 2025–2026. Current: 87%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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Security Audit Patterns: How Top Open-Source Projects Handle Vulnerability Disclosure

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19481670  69stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
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[t]Trusted78%○≥80% from verified, high-quality sources
[a]DOI57%○≥80% have a Digital Object Identifier
[b]CrossRef48%○≥80% indexed in CrossRef
[i]Indexed48%○≥80% have metadata indexed
[l]Academic61%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]2,630✓Minimum 2,000 words for a full research article. Current: 2,630
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19481670
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (66 × 60%) + Required (4/5 × 30%) + Optional (2/4 × 10%)

The e[REDACTED]nential growth in open-source software vulnerabilities, with over 21,500 CVEs disclosed in the first half of 2025, has made vulnerability disclosure a critical challenge for the open-source ecosystem. This article investigates how leading open-source projects handle security vulnerability disclosure through coordinated bug bounty programs, GitHub Security Advisories, and CVE assi...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19481670 69stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources39%○≥80% from editorially reviewed sources
[t]Trusted78%○≥80% from verified, high-quality sources
[a]DOI57%○≥80% have a Digital Object Identifier
[b]CrossRef48%○≥80% indexed in CrossRef
[i]Indexed48%○≥80% have metadata indexed
[l]Academic61%○≥80% from journals/conferences/preprints
[f]Free Access96%✓≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]2,630✓Minimum 2,000 words for a full research article. Current: 2,630
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19481670
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]88%✓≥60% of references from 2025–2026. Current: 88%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code✓✓Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (66 × 60%) + Required (4/5 × 30%) + Optional (2/4 × 10%)
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Fresh Repositories Watch: Logistics and Supply Chain — Optimization and Tracking

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Open Source Research
Open Source Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19477506  68stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI55%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic82%✓≥80% from journals/conferences/preprints
[f]Free Access91%✓≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,022✓Minimum 2,000 words for a full research article. Current: 2,022
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19477506
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (61 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)

Logistics and supply chain management represent one of the most demanding enterprise software domains, requiring real-time optimization across routing, inventory, fleet, and warehouse subsystems simultaneously. The open-source ecosystem for this vertical has matured considerably, with Google OR-Tools emerging as the dominant optimization backbone and specialized solutions like GraphHopper, Flee...

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Open Source Research by Oleh Ivchenko DOI: 10.5281/zenodo.19477506 68stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted100%✓≥80% from verified, high-quality sources
[a]DOI55%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed0%○≥80% have metadata indexed
[l]Academic82%✓≥80% from journals/conferences/preprints
[f]Free Access91%✓≥80% are freely accessible
[r]References11 refs✓Minimum 10 references required
[w]Words [REQ]2,022✓Minimum 2,000 words for a full research article. Current: 2,022
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19477506
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]100%✓≥60% of references from 2025–2026. Current: 100%
[c]Data Charts4✓Original data charts from reproducible analysis (min 2). Current: 4
[g]Code✓✓Source code available on GitHub
[m]Diagrams2✓Mermaid architecture/flow diagrams. Current: 2
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (61 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
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