--- title: "delta vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/delta-io-delta-vs-sindresorhus-awesome" tools: ["delta-io-delta", "sindresorhus-awesome"] --- # delta vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick delta when license: delta is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, delta is Apache-2.0. [delta](https://delta.io) reports 8.9k GitHub stars, 2.1k forks, and 1.5k open issues, last pushed Jul 11, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [delta's repository](https://github.com/delta-io/delta) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [delta](/tools/delta-io-delta.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs | 😎 Awesome lists about all kinds of interesting topics | | Stars | 8,901 | 484,026 | | Forks | 2,134 | 35,799 | | Open issues | 1,542 | 92 | | Language | Scala | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [delta](/tools/delta-io-delta.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 11d | | Open issues (now) | 1.5k | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/delta-io-delta/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose delta if… - License: delta is Apache-2.0, awesome is CC0-1.0. - Tags unique to delta: acid, analytics, big-data, delta-lake. - Also covers LLM Frameworks. - delta ships Docker support for self-hosted deployment. ### Choose awesome if… - License: awesome is CC0-1.0, delta is Apache-2.0. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use delta - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between delta and awesome? delta: An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose delta over awesome? Choose delta over awesome when License: delta is Apache-2.0, awesome is CC0-1.0; Tags unique to delta: acid, analytics, big-data, delta-lake; Also covers LLM Frameworks; delta ships Docker support for self-hosted deployment. ### When should I choose awesome over delta? Choose awesome over delta when License: awesome is CC0-1.0, delta is Apache-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid delta? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is delta or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 8,901). Stars measure visibility, not whether either tool fits your constraints. ### Are delta and awesome open source? Yes - both are open-source projects on GitHub (delta: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to delta or awesome? GraphCanon lists graph-backed alternatives at [delta alternatives](/tools/delta-io-delta/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([delta markdown twin](/tools/delta-io-delta/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/delta-io-delta-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, delta or awesome? delta: Very active. awesome: 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 delta and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [delta trust report](/tools/delta-io-delta/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=delta-io-delta`](/api/graphcanon/graph?tool=delta-io-delta) - 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/_