🏅 Collection of Kaggle Solutions and Ideas 🏅
6.5k
Stars
2.4k
Forks
0
Open issues
5
Contributors
AI Analysis
A curated, community-driven archive of solutions, insights, and resources from hundreds of Kaggle machine learning competitions, presented through a static Astro-based website. It serves competitive data scientists, machine learning practitioners, and learners seeking to study winning approaches, discussion threads, and code notebooks across diverse problem domains (computer vision, NLP, tabular, time series). Not suitable for those seeking a general-purpose ML framework or library — this is ...
Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.
AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.
Curated archive of Kaggle competition solutions, browsable via a static website
kaggle-solutions is a community-maintained, curated index of winning and top-performing solutions from hundreds of Kaggle competitions, organized by category (CV, NLP, tabular, etc.) and served through a static Astro-built website at kaggle.farid.one. It targets ML practitioners and competitive data scientists who want structured access to post-competition write-ups, notebooks, and discussion threads without manually hunting through Kaggle forums. Its value is curation and discoverability, not original content.
Created in November 2018 when Kaggle's own solution-sharing infrastructure was fragmented. Originally a markdown list, it was later rebuilt with Astro to provide a browsable static site. The data backend remains a YAML file updated by scripts.
Growth has been slow and steady over seven years, accumulating ~6,400 stars primarily through organic discovery by Kaggle participants and ML learners. With only 2 stars gained in the last 7 days, the project has likely passed its main growth phase and now serves as a stable reference resource rather than a trending discovery.
The live website at kaggle.farid.one is publicly accessible and referenced in the README, suggesting ongoing deployment. The 2,371 forks suggest many users have personalized copies, which is a meaningful signal of practical use as a learning reference. Independent traffic data is not available. Adoption not verified at organizational scale.
Appears to be an Astro-based static site generator consuming a YAML data file (data/competitions.yml). Helper scripts in a scripts/ directory likely handle data updates. Content is authored in Markdown. Deployable to any static host (Cloudflare Pages, Netlify, Vercel). This is a content repository, not a software library.
not documented in README
Last push was 2026-06-06, approximately 19 days before the evaluation date — indicating active, recent maintenance. The project has been sustained for over 7 years with regular updates as competitions conclude. Maintenance appears healthy for its type (content archive), though not high-velocity.
ADOPT IF: you are learning competitive ML and want structured, browsable access to past Kaggle solutions without manually searching forums; or if you want a forkable template for your own curated ML notebook archive. AVOID IF: you need programmatically queryable solution data, are looking for original implementations, or expect the collection to be exhaustive — curation gaps likely exist. MONITOR IF: Kaggle significantly improves its own native solution discovery tooling, which could reduce the unique value this project provides.
Independent dimensions
Mainstream potential
3/10
Technical importance
2/10
Adoption evidence
4/10
- Link rot: external links to Kaggle discussions, notebooks, and third-party repositories degrade over time as content moves or is deleted.
- Curation completeness: the archive depends on community contributions; many competitions may be partially or not covered, with no systematic completeness guarantee.
- Kaggle platform changes: if Kaggle introduces better native solution aggregation, the differentiation of this project weakens.
- Single maintainer dependency: the project appears primarily maintained by one person (faridrashidi), creating a bus-factor risk for long-term continuity.
- Content staleness for older competitions: solution links from 2018-2020 may point to deprecated or inaccessible resources, reducing value of the historical archive.
Likely to remain a stable, slow-growing reference resource for ML learners. Growth will probably stay modest. Its long track record and live site suggest continued maintenance, but mainstream breakout is unlikely given the niche use case.
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Languages
Information
- Website
- https://kaggle.farid.one
- Language
- Astro
- License
- MIT
- Last updated
- 6d ago
- Created
- 93mo ago
- Analyzed with
- anthropic/claude-haiku-4-5
Stars over time
Contributors over time
Top 100 contributors only — repos with more will plateau at 100.
Open issues
No open issues — clean slate.
Open pull requests
No open pull requests.
Top contributors
Recent releases
No releases published yet.
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| Repository | Stars | Week Δ | Language | Score | Updated |
|---|---|---|---|---|---|
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1.6k | — | — | 7/10 | 1mo ago |
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The canonical source for solution write-ups, but lacks cross-competition search and curation. kaggle-solutions is complementary, not competitive.
Broader scope covering general ML projects with code; 34k stars suggests higher visibility but less focused on competition solutions specifically.
General data science resource list with 29k stars; covers learning resources broadly, not competition solutions.
Focused on generative AI tutorials and resources; different audience and purpose, not a direct alternative.
Some web services track ML competitions and solutions with richer metadata; they may offer more dynamic search but are external services, not forkable archives.
