# iphysresearch/DataSciComp

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

Repository: https://github.com/iphysresearch/DataSciComp
Canonical: https://ross.abutalabs.com/products/datascicomp
Homepage: https://www.datascicamp.com/
Language: JavaScript
License: MIT
License Family: permissive
Topics: data-science, data-challenge, challenge, competition, data-science-competitions, project
Archived: true
Last push: 2021-03-25T22:52:10+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3309, "days_push": 1987, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1674, forks 298 (observed 2026-08-28T04:05:20.381768+00:00)

## What it is
A curated collection of popular data science challenges and competitions with countdown timers tracking entry deadlines, organized by platform, academic focus, and topic tags. The repository was archived in October 2019 and succeeded by the dynamic DataSciCamp website where users can submit their own competitions.

## Use cases
- find upcoming data science competitions
- track machine learning challenge deadlines
- discover computer vision competitions with prizes
- browse NLP and reinforcement learning challenges
- find academic data science competitions
- filter competitions by prize money

## When to avoid
- you need an actively maintained competition tracker - the repo was archived in 2019
- you want live submission or user-generated listings - use the successor DataSciCamp site instead
- you need competition data via an API

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: search-engine, data-science
- domain: data-science, machine-learning, awesome-lists, education
- platform: -
- tags: competition-tracker, curated-list, countdown-timers, kaggle-alternatives, yaml-data, archived, web-server, javascript

## Member repositories
- iphysresearch/DataSciComp (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:20.381768+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:42:32.066478+00:00, confidence not recorded.
  - readme: https://github.com/iphysresearch/DataSciComp (fetched 2026-08-28T04:05:20.381768+00:00, sha 340fcc4baf59)
  - homepage: https://www.datascicamp.com/ (fetched 2026-08-29T11:15:49.057733+00:00, sha 6dd67e39a379)
  - site_page: https://benchgecko.ai/pricing/coding (fetched 2026-08-29T11:15:49.068048+00:00, sha feb48872f58b)
  - site_page: https://benchgecko.ai/pricing/reasoning (fetched 2026-08-29T11:15:49.070021+00:00, sha 67d89b7f16d1)
  - site_page: https://benchgecko.ai/pricing/vision (fetched 2026-08-29T11:15:49.071790+00:00, sha 2c485550c220)
  - site_page: https://benchgecko.ai/pricing/agents (fetched 2026-08-29T11:15:49.073560+00:00, sha 97f511f797a3)
  - site_page: https://benchgecko.ai/pricing/open-source (fetched 2026-08-29T11:15:49.075272+00:00, sha 42839cdb08e3)
  - site_page: https://benchgecko.ai/benchmark/cadeval (fetched 2026-08-29T11:15:49.077330+00:00, sha 3715f63e4d45)
  - site_page: https://benchgecko.ai/benchmark/charxiv-reasoning (fetched 2026-08-29T11:15:49.079065+00:00, sha f68d4862924e)
  - site_page: https://benchgecko.ai/pricing (fetched 2026-08-29T11:15:49.080716+00:00, sha d492667caeba)
- Data as of 2026-08-30T08:39:29.467469+00:00.