--- title: "autoscraper vs chroma" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alirezamika-autoscraper-vs-chroma-core-chroma" tools: ["alirezamika-autoscraper", "chroma-core-chroma"] --- # autoscraper vs chroma *GraphCanon updated Jul 15, 2026* ## Verdict Pick autoscraper when autoscraper is primarily Python; chroma is Rust; pick chroma when chroma is primarily Rust; autoscraper is Python. [autoscraper](https://github.com/alirezamika/autoscraper) reports 7.6k GitHub stars, 779 forks, and 0 open issues, last pushed Jun 9, 2025. [chroma](https://www.trychroma.com/) has 29k stars, 2.4k forks, and 728 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [autoscraper's repository](https://github.com/alirezamika/autoscraper) and [chroma's repository](https://github.com/chroma-core/chroma). | | [autoscraper](/tools/alirezamika-autoscraper.md) | [chroma](/tools/chroma-core-chroma.md) | | --- | --- | --- | | Tagline | A Smart, Automatic, Fast and Lightweight Web Scraper for Python | Search infrastructure for AI | | Stars | 7,603 | 28,763 | | Forks | 779 | 2,377 | | Open issues | 0 | 728 | | Language | Python | Rust | | Adopt for | - | Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. | | Persona | - | - | | Runtime | - | - | | License | MIT | Chroma is released under the Apache 2.0 license. | | Categories | Data & Retrieval | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autoscraper](/tools/alirezamika-autoscraper.md) | [chroma](/tools/chroma-core-chroma.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 400d | 0d | | Open issues (now) | 0 | 728 | | Owner type | User | Organization | | Full report | [trust report](/tools/alirezamika-autoscraper/trust.md) | [trust report](/tools/chroma-core-chroma/trust.md) | ## Decision facts: chroma - **Pricing:** freemium - The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits. - **Requirements:** Min 1 GB RAM - **Adopt for:** Chroma is an open-source data infrastructure for AI designed to support vector, hybrid, and full-text search capabilities with high performance. - **License detail:** Chroma is released under the Apache 2.0 license. ## Choose when ### Choose autoscraper if… - autoscraper is primarily Python; chroma is Rust. - License: autoscraper is MIT, chroma is Apache-2.0. - Tags unique to autoscraper: ai, artificial-intelligence, automation, crawler. ### Choose chroma if… - chroma is primarily Rust; autoscraper is Python. - License: chroma is Apache-2.0, autoscraper is MIT. - Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.. - Requirements: Min 1 GB RAM. - Tags unique to chroma: agents, ai-agents, database, full-text-search. - Also covers Vector Databases. - - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services ## When NOT to use autoscraper - Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## When NOT to use chroma - - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in. ## Common questions ### What is the difference between autoscraper and chroma? autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python. chroma: Search infrastructure for AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose autoscraper over chroma? Choose autoscraper over chroma when autoscraper is primarily Python; chroma is Rust; License: autoscraper is MIT, chroma is Apache-2.0; Tags unique to autoscraper: ai, artificial-intelligence, automation, crawler. ### When should I choose chroma over autoscraper? Choose chroma over autoscraper when chroma is primarily Rust; autoscraper is Python; License: chroma is Apache-2.0, autoscraper is MIT; Pricing: The open-source version is free to use and modify; the hosted service (Chroma Cloud) has a freemium model offering $5 of initial credits.; Requirements: Min 1 GB RAM; Tags unique to chroma: agents, ai-agents, database, full-text-search; Also covers Vector Databases; - When you require a high-performance data infrastructure that can handle complex query needs for AI applications. - If your project necessitates fast, cost-effective, and scalable serverless services. ### When should I avoid autoscraper? Last GitHub push was 401 days ago (dormant maintenance, Jun 9, 2025). Validate activity before betting a new project on autoscraper. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### When should I avoid chroma? - In scenarios where a more mature or enterprise-grade solution is required, as Chroma might be rapidly evolving and not yet fully stabilized. - If your project requires extensive customization at the lower levels that the relatively new tool might not support comprehensively yet - When the specific need for an AI application does not benefit from vector, hybrid, or full-text search capabilities that Chroma excels in. ### Is autoscraper or chroma more popular on GitHub? chroma has more GitHub stars (28,763 vs 7,603). Stars measure visibility, not whether either tool fits your constraints. ### Are autoscraper and chroma open source? Yes - both are open-source projects on GitHub (autoscraper: MIT, chroma: Apache-2.0). ### Where can I find alternatives to autoscraper or chroma? GraphCanon lists graph-backed alternatives at [autoscraper alternatives](/tools/alirezamika-autoscraper/alternatives) and [chroma alternatives](/tools/chroma-core-chroma/alternatives) ([autoscraper markdown twin](/tools/alirezamika-autoscraper/alternatives.md), [chroma markdown twin](/tools/chroma-core-chroma/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/alirezamika-autoscraper-vs-chroma-core-chroma.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autoscraper or chroma? autoscraper: Dormant. chroma: 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 autoscraper and chroma? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autoscraper trust report](/tools/alirezamika-autoscraper/trust); [chroma trust report](/tools/chroma-core-chroma/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alirezamika-autoscraper`](/api/graphcanon/graph?tool=alirezamika-autoscraper) - 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/_