Comparison
Scrapling vs LEANN
Verdict
Pick Scrapling if scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques; pick LEANN if lEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into.
Markdown twin · Scrapling alternatives · LEANN alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | Scrapling | LEANN |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Active (17d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Scrapling
- An adaptive Web Scraping framework
- LEANN
- RAG on Everything with LEANN
Stars
- Scrapling
- 71k
- LEANN
- 13k
Forks
- Scrapling
- 7.1k
- LEANN
- 1.1k
Open issues
- Scrapling
- 5
- LEANN
- 45
Language
- Scrapling
- Python
- LEANN
- Python
Adopt for
- Scrapling
- Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques.
- LEANN
- LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python,
Persona
- Scrapling
- -
- LEANN
- -
Runtime
- Scrapling
- -
- LEANN
- -
License
- Scrapling
- BSD-3-Clause
- LEANN
- MIT
Last pushed
- Scrapling
- Jul 25, 2026
- LEANN
- Jul 31, 2026
Categories
- Scrapling
- Data & Retrieval, Developer Tools
- LEANN
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- Scrapling
- Very active (96%)
- LEANN
- Active (82%)
Days since push
- Scrapling
- 0d
- LEANN
- 17d
Open issues (now)
- Scrapling
- 5
- LEANN
- 45
Stars delta
- Scrapling
- Unknown
- LEANN
- +81 (30d)
Open issues delta
- Scrapling
- Unknown
- LEANN
- 0 (30d)
Owner type
- Scrapling
- User
- LEANN
- Organization
Full report
- Scrapling
- Trust report
- LEANN
- Trust report
Shared compatibility
- Python · Scrapling: Python runtime · LEANN: Python runtime
Choose Scrapling if…
- License: Scrapling is BSD-3-Clause, LEANN is MIT.
- Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction.
- Scrapling ships Docker support for self-hosted deployment.
- When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements
When NOT to use Scrapling
- Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python
- Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available
Choose LEANN if…
- License: LEANN is MIT, Scrapling is BSD-3-Clause.
- Tags unique to LEANN: ai, faiss, gpt-oss, langchain.
- When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
When NOT to use LEANN
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies.
- LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (D4Vinci/Scrapling) · observed Jul 26, 2026
- GitHub forks (D4Vinci/Scrapling) · observed Jul 26, 2026
- Last push (D4Vinci/Scrapling) · observed Jul 25, 2026
- License file (BSD-3-Clause) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (StarTrail-org/LEANN) · observed Aug 18, 2026
- GitHub forks (StarTrail-org/LEANN) · observed Aug 18, 2026
- Last push (StarTrail-org/LEANN) · observed Jul 31, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Scrapling 71k · LEANN 13k (synced Jul 26, 2026).
Common questions
- What is the difference between Scrapling and LEANN?
- Scrapling: An adaptive Web Scraping framework. LEANN: RAG on Everything with LEANN. See the comparison table for live GitHub stats and shared categories.
- When should I choose Scrapling over LEANN?
- Choose Scrapling over LEANN when License: Scrapling is BSD-3-Clause, LEANN is MIT; Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction; Scrapling ships Docker support for self-hosted deployment; When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements.
- When should I choose LEANN over Scrapling?
- Choose LEANN over Scrapling when License: LEANN is MIT, Scrapling is BSD-3-Clause; Tags unique to LEANN: ai, faiss, gpt-oss, langchain; When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions.
- When should I avoid Scrapling?
- Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available
- When should I avoid LEANN?
- Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2.
- Is Scrapling or LEANN more popular on GitHub?
- Scrapling has more GitHub stars (71,247 vs 12,785). Stars measure visibility, not whether either tool fits your constraints.
- Are Scrapling and LEANN open source?
- Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, LEANN: MIT).
- Where can I find alternatives to Scrapling or LEANN?
- GraphCanon lists graph-backed alternatives at Scrapling alternatives and LEANN alternatives (Scrapling markdown twin, LEANN 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, Scrapling or LEANN?
- Scrapling: Very active. LEANN: 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 Scrapling and LEANN?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Scrapling trust report; LEANN trust report.