zindi-package
Description
A user-friendly Python client for interacting with the Zindi platform.
Installation
pip install -U zindi
Quick start
from zindi.user import Zindian
# interactive mode (prints formatted tables/messages)
user = Zindian(username="your_username")
# or tool/MCP-friendly mode (returns typed models)
# user = Zindian(username="your_username", return_models=True, to_print=False)
Usage
You can also check the Colab notebook.
# 1) Select challenge
selection = user.select_a_challenge(challenge_id="digicow-farmer-training-adoption-challenge")
# 2) Inspect challenge/rank
current = user.which_challenge
rank = user.my_rank
# 3) Leaderboard and submission board
leaderboard = user.leaderboard(per_page=50)
board = user.submission_board(per_page=50)
# 4) Download dataset and submit file
files = user.download_dataset(destination="./dataset")
submission = user.submit(
filepaths=["./dataset/SampleSubmission.csv"],
comments=["initial submission"],
)
# 5) Team actions
team = user.create_team(team_name="New Team")
Typed model outputs (recommended for integrations)
user = Zindian(username="your_username", return_models=True, to_print=False)
selection = user.select_a_challenge(query="DigiCow")
print(selection) # ChallengeSelectionResult(...)
leaderboard = user.leaderboard(per_page=10)
print(leaderboard) # LeaderboardResult(rank=..., total_rows=...)
submissions = user.submission_board(per_page=20)
print(submissions) # SubmissionBoardResult(total_rows=...)
payload = leaderboard.to_dict() # JSON-serializable dictionary
Contributors
Emmanuel KOUPOH |
Cédric MANOUAN |
Muhamed TUO |
Elie Alex Kameni Ngangue |
|---|---|---|---|
| eaedk | dric2018 | NazarioR9 | KameniAlexNea |
| Emmanuel on linkedin | Cedric on linkedin | Muhamed on linkedin | Alex on linkedin |
| @eaedk😂 | @Zeus😆 | @Nazario😁 | @alexneakameni🤗 |
Don’t forget to visit Zindi Platform
Metadata
Release files for zindi 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zindi-0.0.4.tar.gz | 177.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zindi-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 193.8 kB
Release files / zindi-0.0.4.tar.gz
| Download URL | zindi-0.0.4.tar.gz |
|---|---|
| Size | 177.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Transparency logRelease files / zindi-0.0.4-py3-none-any.whl
| Download URL | zindi-0.0.4-py3-none-any.whl |
|---|---|
| Size | 15.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
da001c654a94844caa52ffa365218b772221ac0c1b3356932ae692959cd0fe45
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Mar 11, 2026.
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