Comparison
awesome vs lakeFS
Verdict
Pick awesome when license: awesome is CC0-1.0, lakeFS is Apache-2.0; pick lakeFS when license: lakeFS is Apache-2.0, awesome is CC0-1.0.
Markdown twin · awesome alternatives · lakeFS alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome | lakeFS |
|---|---|---|
| Maintenance | Active (11d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 5 low (5 low) As of today · osv@v1 |
Tagline
- awesome
- 😎 Curated list of awesome topics including hardware resources
- lakeFS
- lakeFS - Data version control for your data lake | Git for data
Stars
- awesome
- 484k
- lakeFS
- 5.4k
Forks
- awesome
- 36k
- lakeFS
- 461
Open issues
- awesome
- 92
- lakeFS
- 431
Language
- awesome
- -
- lakeFS
- Go
Adopt for
- awesome
- -
- lakeFS
- -
Persona
- awesome
- -
- lakeFS
- -
Runtime
- awesome
- -
- lakeFS
- -
License
- awesome
- CC0-1.0
- lakeFS
- Apache-2.0
Last pushed
- awesome
- Jun 30, 2026
- lakeFS
- Jul 11, 2026
Categories
- awesome
- LLM Frameworks
- lakeFS
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- awesome
- Active (82%)
- lakeFS
- Very active (96%)
Days since push
- awesome
- 11d
- lakeFS
- 0d
Open issues (now)
- awesome
- 92
- lakeFS
- 431
Owner type
- awesome
- User
- lakeFS
- Organization
Security scan
- awesome
- No lockfile
- lakeFS
- 5 low (5 low)
Full report
- awesome
- Trust report
- lakeFS
- Trust report
Choose awesome if…
- License: awesome is CC0-1.0, lakeFS is Apache-2.0.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 5.4k) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose lakeFS if…
- License: lakeFS is Apache-2.0, awesome is CC0-1.0.
- Tags unique to lakeFS: apache-spark, apache-sparksql, aws-s3, azure-blob-storage.
- Also covers AI Agents.
- lakeFS ships Docker support for self-hosted deployment.
When NOT to use lakeFS
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (treeverse/lakeFS) · observed Jul 11, 2026
- GitHub forks (treeverse/lakeFS) · observed Jul 11, 2026
- Last push (treeverse/lakeFS) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome 484k · lakeFS 5.4k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome and lakeFS?
- awesome: 😎 Curated list of awesome topics including hardware resources. lakeFS: lakeFS - Data version control for your data lake | Git for data. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome over lakeFS?
- Choose awesome over lakeFS when License: awesome is CC0-1.0, lakeFS is Apache-2.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 5.4k) - visibility, not fit.
- When should I choose lakeFS over awesome?
- Choose lakeFS over awesome when License: lakeFS is Apache-2.0, awesome is CC0-1.0; Tags unique to lakeFS: apache-spark, apache-sparksql, aws-s3, azure-blob-storage; Also covers AI Agents; lakeFS ships Docker support for self-hosted deployment.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid lakeFS?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is awesome or lakeFS more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 5,438). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome and lakeFS open source?
- Yes - both are open-source projects on GitHub (awesome: CC0-1.0, lakeFS: Apache-2.0).
- Where can I find alternatives to awesome or lakeFS?
- GraphCanon lists graph-backed alternatives at awesome alternatives and lakeFS alternatives (awesome markdown twin, lakeFS markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome or lakeFS?
- awesome: Active. lakeFS: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome and lakeFS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; lakeFS trust report.