AdoptRank CLI
AdoptRank finds open-source repositories that fit the project you are actually building and exposes a live adoption leaderboard backed by real GitHub and PyPI observations.
Install
pipx install adoptrank
Python 3.11–3.14 is supported for the CLI. The optional model-serving stack uses Python 3.12 in production.
Context-aware search
Run the command inside a local project:
adoptrank find "a streaming anomaly detector that fits this codebase"
The scanner sends only a bounded structured summary of languages, dependencies, frameworks, and symbols. It skips ignored paths, build/dependency directories, known credential files, and files matching secret patterns. Inspect the exact payload without sending it with:
adoptrank find "your query" --dry-run
Live leaderboard
adoptrank leaderboard --language Python --sort momentum
adoptrank leaderboard --owner openai --window 7
Results contain simple direct GitHub links. The hosted Vercel proxy supplies the private model-service credential, so CLI users do not need an AdoptRank API key.
Web application: https://adoptrank.vercel.app
Source and documentation: https://github.com/Kairavparikh/adoptrank
Metadata
Release files for adoptrank 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adoptrank-0.1.0.tar.gz | 27.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adoptrank-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.4 kB
Release files / adoptrank-0.1.0.tar.gz
| Download URL | adoptrank-0.1.0.tar.gz |
|---|---|
| Size | 27.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1d8d2139d08f6bea2943a5962cc99940aed4de48cb2ab69fc8274a927a149e9d
|
|
BLAKE2b-256 checksum How to use checksums |
2a0ad2d20725c7646935035d8e15965fe275988023d67ad3204f91a1388fdaa2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 7, 2026.
Transparency logRelease files / adoptrank-0.1.0-py3-none-any.whl
| Download URL | adoptrank-0.1.0-py3-none-any.whl |
|---|---|
| Size | 32.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ed237da6aaaea75f027b610169b898ab07b9fa668772fd5b006e68e7f87031b9
|
|
BLAKE2b-256 checksum How to use checksums |
86b92b42ba013a1ab91cbbf4b8b02f3b7b4b2f3c0783105b5ea6edeb1b488b17
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 7, 2026.
Transparency log