Public recordExcellent
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 15:57 UTC
igerber / diff-diff
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
igerber/diff-diff holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (90/100) and lowest on Sustainability & Governance (56/100). It was last updated today. A single contributor accounts for most of its recent work.
88
overall / 100Software 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.
88
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)
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).
Ownership
IsaacPersonal account
30 followers4 public repossince Jun 2022
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | diff-diff | 3.7.0 | 16,799 | 77 | 8 days ago | causal-inferencedifference-in-differenceseconometricsstatisticstreatment-effectsevent-studystaggered-adoptionparallel-trendssynthetic-controlpanel-datadidtwfecallaway-santannahonest-didsensitivity-analysis |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
90
Development activity
83Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 18.7/36 | Commit cadence — 27/52 weeks with commits |
| 18/18 | Commit volume — 3,106 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 3,106 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 27 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 75 releases published |
| 36/36 | Release recency — latest release 8 days ago |
| 27/27 | Release cadence — a release every ~5.4 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 75 |
| latest_release_tag | v3.7.0 |
| releases_from_tags | no |
| days_since_latest_release | 8 |
| mean_days_between_releases | 5.4 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
73
Popularity & adoption
58Moderate
How it's scored
| 41.2/60 | Stars — 350 stars |
| 13.7/25 | Forks — 45 forks |
| 2.7/15 | Watchers — 4 watchers |
Inputs used
| forks | 45 |
| stars | 350 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | — |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| readme_badge_services | — |
| has_pull_request_template | yes |
How it's scored
| 56.3/80 | Monthly downloads — 16,799 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | diff-diff |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 16,799 |
| 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?
56
Maintainer resilience (bus factor)
18Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0.9/22.5 | Commit distribution — top contributor authored 96% of commits |
| 5.4/13.5 | Contributor breadth — 4 contributors |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0.96 |
Issue & PR responsiveness
82Excellent
How it's scored
| 42/42 | Issue resolution — 100% of issues closed |
| 29.1/30 | PR acceptance — 658/678 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 658 |
| open_issues | 0 |
| closed_issues | 9 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 20 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
Ownership & stewardship
42Weak
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 10.7/25 | Owner reach — 30 followers of igerber |
| 13.3/25 | Track record — 4 public repos, account ~4 yr old |
Inputs used
| followers | 30 |
| owner_type | User |
| is_verified | — |
| owner_login | igerber |
| public_repos | 4 |
| account_age_days | 1,500 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 8 days ago |
| 20/20 | Version history — 77 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | diff-diff |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 8 |
Engineering Quality
Are baseline engineering and documentation practices in place?
81
Engineering practices
68Good
How it's scored
| 24/24 | CI workflows — 9 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
100Exceptional
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://diff-diff.readthedocs.io |
| 10/10 | Repository description |
| 10/10 | Topics — 18 topics |
| 10/10 | Wiki |
Inputs used
| topics | analytics, causal-inference, difference-in-differences, econometrics, economics, data-science, did, event-study, panel-data, sensitivity-analysis, staggered-adoption, statistics, treatment-effects, parallel-trends, marketing-analytics, survey-design, synthetic-control, geo-experiments |
| has_wiki | yes |
| homepage | https://diff-diff.readthedocs.io |
| docs_site | https://diff-diff.readthedocs.io |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
74
Security posture
74Good
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/29 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 7.4 |
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
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.
73
Agent context & guidance
100Exceptional
How it's scored
| 45/45 | Agent instructions — CLAUDE.md |
| 15/15 | Machine-readable docs (llms.txt) — llms.txt present |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | yes |
| llms_txt_url | — |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 10,961 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
54Moderate
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 40/55 | Manageable file sizes — 83/304 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 513,228 |
| source_files_sampled | 304 |
| oversized_source_files | 83 |
Machine-readable interfaces
100Exceptional
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software |
| 0/20 | MCP server — not applicable to this kind of software |
| 40/40 | Runnable examples — notebooks |
Inputs used
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
| interfaces_expected_of | — |
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.
Key facts
350GitHub stars
4contributors
3,106commits, last 12 months
0days since last push
75releases
1bus factor
0open issues
crates.io, PyPIpackage ecosystems
Data collection warnings
- Could not fetch crates package 'diff_diff_rust' from its registry
More detail
OpenSSF Scorecard 7.4 / 10
7.4aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/29 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 11
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.20.0 | pyproject.toml |
| PyPI | pandas | >=1.3.0 | pyproject.toml |
| PyPI | scipy | >=1.10 | pyproject.toml |
| crates.io | pyo3 | 0.29 | rust/Cargo.toml |
| crates.io | numpy | 0.29 | rust/Cargo.toml |
| crates.io | ndarray | 0.17 | rust/Cargo.toml |
| crates.io | rand | 0.10 | rust/Cargo.toml |
| crates.io | rand_xoshiro | 0.8 | rust/Cargo.toml |
| crates.io | rayon | 1.8 | rust/Cargo.toml |
| crates.io | faer | 0.24 | rust/Cargo.toml |
| crates.io | blas-src | 0.14 | rust/Cargo.toml |
All dependencies 28
Full resolved dependency set from the GitHub dependency graph: 11 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| crates.io | blas-src | — | direct |
| crates.io | faer | — | direct |
| crates.io | ndarray | — | direct |
| crates.io | numpy | — | direct |
| crates.io | pyo3 | — | direct |
| crates.io | rand | — | direct |
| crates.io | rand_xoshiro | — | direct |
| crates.io | rayon | — | direct |
| PyPI | numpy | — | direct |
| PyPI | pandas | — | direct |
| PyPI | scipy | — | direct |
| PyPI | black | 26.3.1 | indirect |
| PyPI | ipython | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | maturin | — | indirect |
| PyPI | mypy | 2.1.0 | indirect |
| PyPI | myst-parser | — | indirect |
| PyPI | nbmake | — | indirect |
| PyPI | nbsphinx | — | indirect |
| PyPI | plotly | — | indirect |
| PyPI | pydata-sphinx-theme | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | ruff | 0.15.13 | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-sitemap | — | indirect |
| PyPI | sphinxext-opengraph | — | indirect |
Raw JSON report machine-readable
Feedback
Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.
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 v0.12.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.