--- title: "awesome vs lakeFS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sindresorhus-awesome-vs-treeverse-lakefs" tools: ["sindresorhus-awesome", "treeverse-lakefs"] --- # awesome vs lakeFS *GraphCanon updated Jul 12, 2026* ## 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. [awesome](https://github.com/sindresorhus/awesome) reports 484k GitHub stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. [lakeFS](https://docs.lakefs.io) has 5.4k stars, 461 forks, and 431 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [awesome's repository](https://github.com/sindresorhus/awesome) and [lakeFS's repository](https://github.com/treeverse/lakeFS). | | [awesome](/tools/sindresorhus-awesome.md) | [lakeFS](/tools/treeverse-lakefs.md) | | --- | --- | --- | | Tagline | 😎 Curated list of awesome topics including hardware resources | lakeFS - Data version control for your data lake | Git for data | | Stars | 484,026 | 5,438 | | Forks | 35,799 | 461 | | Open issues | 92 | 431 | | Language | - | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | CC0-1.0 | Apache-2.0 | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome](/tools/sindresorhus-awesome.md) | [lakeFS](/tools/treeverse-lakefs.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 11d | 0d | | Open issues (now) | 92 | 431 | | Owner type | User | Organization | | Security scan | No lockfile | 5 low (5 low) | | Full report | [trust report](/tools/sindresorhus-awesome/trust.md) | [trust report](/tools/treeverse-lakefs/trust.md) | ## Choose when ### 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. ### 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 awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## 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. ## 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](/tools/sindresorhus-awesome/alternatives) and [lakeFS alternatives](/tools/treeverse-lakefs/alternatives) ([awesome markdown twin](/tools/sindresorhus-awesome/alternatives.md), [lakeFS markdown twin](/tools/treeverse-lakefs/alternatives.md)), 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](/compare/sindresorhus-awesome-vs-treeverse-lakefs.md) 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](/tools/sindresorhus-awesome/trust); [lakeFS trust report](/tools/treeverse-lakefs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sindresorhus-awesome`](/api/graphcanon/graph?tool=sindresorhus-awesome) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_