Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 18:14 UTC

assafelovic / gpt-researcher

An autonomous agent that conducts deep research on any data using any LLM providers

Python · TypeScriptApache-2.0★ 29,485 stars⑂ 4,011 forkssince May 2023View on GitHub ↗
KindNetwork serviceLibraryMCP serverCommand-line toolhow this is determined
#ai#python#agent#automation#research#search#webscraping#llms#deepresearch#mcp#mcp-server

assafelovic/gpt-researcher holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (90/100) and lowest on Sustainability & Governance (64/100). It was last updated 19 days ago. A single contributor accounts for most of its recent work.

94
overall / 100
Exceptional

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

94
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Assaf ElovicPersonal account
1,304 followers24 public repossince Jul 2015Tavily.com

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgpt-researcher0.16.050,49511060 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

90Excellent · 21% of overall

Development activity

84Excellent
How it's scored
28.8/36Push recency — last push 19 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 385 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year385
human_commit_share0.99
days_since_last_push19
active_weeks_last_year41

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 73 releases published
36/36Release recency — latest release 23 days ago
27/27Release cadence — a release every ~23.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count73
latest_release_tagv3.6.1
releases_from_tagsno
days_since_latest_release23
mean_days_between_releases23.4

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

88Excellent · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 29,485 stars
25/25Forks — 4,011 forks
12.5/15Watchers — 177 watchers
Inputs used
forks4,011
stars29,485
watchers177
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

78Good
How it's scored
62.7/80Monthly downloads — 50,495 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgpt-researcher
dependents—
ecosystemspypi
total_downloads—
monthly_downloads50,495
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.3/22.5Commit distribution — top contributor authored 54% of commits
13.5/13.5Contributor breadth — 98 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled98
top_contributor_share0.541

Issue & PR responsiveness

66Good
How it's scored
39.7/42Issue resolution — 94% of issues closed
15.7/30PR acceptance — 577/1,101 decided PRs merged
0.7/13Newcomer PR acceptance — 2/39 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs577
open_issues41
closed_issues702
prs_merged_7d0
prs_decided_7d0
prs_merged_30d8
prs_decided_30d55
issue_closed_ratio0.945
closed_unmerged_prs524
first_time_authors_30d10
first_time_prs_merged_30d2
first_time_prs_decided_30d39

Ownership & stewardship

68Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
22.4/25Owner reach — 1,304 followers of assafelovic
22.2/25Track record — 24 public repos, account ~11 yr old
Inputs used
followers1,304
owner_typeUser
is_verified—
owner_loginassafelovic
public_repos24
account_age_days4,067
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 60 days ago
20/20Version history — 110 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgpt-researcher
ecosystemspypi
any_deprecatedno
min_days_since_publish60

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://gptr.dev
10/10Repository description
10/10Topics — 11 topics
0/10Wiki
Inputs used
topicsai, python, agent, automation, research, search, webscraping, llms, deepresearch, mcp, mcp-server
has_wikino
homepagehttps://gptr.dev
docs_sitehttps://gptr.dev
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

74Good · 16% of overall

Security posture

73Good
How it's scored
30/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsbackend/requirements.txt, deep_agents/requirements.txt, docs/package.json, multi_agents/package.json, multi_agents/requirements.txt, pyproject.toml, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

80Excellent
How it's scored
15.4/35Direct dependencies free of known advisories — 1 affected: nltk 3.10.3 (high 7.0)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages191
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:gpt-researcher@0.16.0 runtime dependency closure — what installing the published package pulls in — 191 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

89Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — .cursorrules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://gptr.dev/llms.txt)
40/40Legible commit history — 94 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://gptr.dev/llms.txt
legible_history_share0.949
agent_instruction_files.cursorrules
agent_instruction_max_bytes5,937

Verify loop (build / test / typecheck)

80Excellent
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .eslintrc.json
11/11Static type checking — frontend/nextjs/tsconfig.json
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsfrontend/nextjs/tsconfig.json
agent_commit_share0.24
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (frontend/nextjs/tsconfig.json)
54.9/55Manageable file sizes — 1/424 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes84,260
source_files_sampled424
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — .triage/engagement.graphql
20/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files.triage/engagement.graphql
interfaces_expected_ofnetwork-service

Key facts

29,485GitHub stars
98contributors
385commits, last 12 months
19days since last push
73releases
1bus factor
41open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 22 authors (cap 12)
  • Could not fetch npm package 'simple_js_test' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 4,011 ⇿
0Stars
4,011Forks
12Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

3,0003,2003,4003,6003,8004,0004,2004,011162025-112026-042026-09
Major 0Minor 3Patch 7
Direct dependencies 141
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All dependencies 239

Full resolved dependency set from the GitHub dependency graph: 142 direct and 97 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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npm@types/node^20indirect
npm@types/react^18indirect
npm@types/react-dom^18indirect
npm@types/uuid^10.0.0indirect
npmautoprefixer^10.4.20indirect
npmaxios^1.3.2indirect
npmclsx^1.1.1indirect
npmdate-fns^4.1.0indirect
npmdiscord.js^14.16.1indirect
npmdotenv^16.4.5indirect
npmeslint^8indirect
npmeslint-config-next14.2.3indirect
npmeventsource-parser^1.1.2indirect
npmexpress^4.17.1indirect
npmfile-loader^6.2.0indirect
npmframer-motion^9.0.2indirect
npmgeist^1.3.1indirect
npmhast-util-is-element1.1.0indirect
npmisomorphic-dompurify^3.0.0indirect
npmjsonrepair^3.8.0indirect
npmminimatch3.0.5indirect
npmnext^14.2.28indirect
npmnext-plausible^3.12.0indirect
npmnodemon^3.1.4indirect
npmpostcss^8indirect
npmprettier^3.2.5indirect
npmprettier-plugin-tailwindcss^0.6.0indirect
npmreact^18.0.0indirect
npmreact^18.0.1indirect
npmreact-dom^18.0.0indirect
npmreact-dom^18.0.1indirect
npmreact-dropzone^14.2.3indirect
npmreact-ga4^2.1.0indirect
npmreact-hot-toast^2.4.1indirect
npmrehype-katex7indirect
npmrehype-prism-plus^2.0.0indirect
npmremark^15.0.1indirect
npmremark-gfm^4.0.1indirect
npmremark-html^16.0.1indirect
npmremark-math6indirect
npmremark-parse^11.0.0indirect
npmrollup^2.79.2indirect
npmrollup-plugin-peer-deps-external^2.2.4indirect
npmrollup-plugin-postcss^4.0.2indirect
npmrollup-plugin-terser^7.0.2indirect
npmrollup-plugin-typescript2^0.31.2indirect
npmtailwindcss^3.4.1indirect
npmtrim^0.0.3indirect
npmtypescript^5indirect
npmurl-loader^4.1.1indirect
npmws^8.18.0indirect
npmzod^3.0.0indirect
npmzod-to-json-schema^3.23.0indirect
PyPIag2—indirect
PyPIddgs—indirect
PyPIdeepagents—indirect
PyPIgoogle-genai—indirect
PyPIjudges—indirect
PyPIlangchain-mcp-adapters—indirect
PyPIpandas—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-forked—indirect
PyPIpytest-timeout—indirect
PyPIpython-pptx—indirect
PyPItavily-python—indirect
PyPItypes-aiofiles—indirect
PyPItypes-beautifulsoup4—indirect
PyPItypes-colorama—indirect
PyPItypes-markdown—indirect
PyPItypes-requests—indirect
Dependency advisories 1

Installing pypi:gpt-researcher@0.16.0 pulls in 191 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.10.3directhigh1—

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.