Comparison
graphify vs docetl
Verdict
Pick graphify when requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; pick docetl when tags unique to docetl: agents, data, data-pipelines, document-analysis.
Markdown twin · graphify alternatives · docetl alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | graphify | docetl |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Active (18d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- graphify
- Turn any code or documentation into a queryable knowledge graph
- docetl
- A system for agentic LLM-powered data processing and ETL
Stars
- graphify
- 82k
- docetl
- 3.9k
Forks
- graphify
- 8.1k
- docetl
- 414
Open issues
- graphify
- 452
- docetl
- 41
Language
- graphify
- Python
- docetl
- Python
Adopt for
- graphify
- Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types.
- docetl
- -
Persona
- graphify
- -
- docetl
- -
Runtime
- graphify
- -
- docetl
- -
License
- graphify
- MIT
- docetl
- MIT
Last pushed
- graphify
- Jul 11, 2026
- docetl
- Jun 26, 2026
Categories
- graphify
- AI Agents, Data & Retrieval
- docetl
- AI Agents, Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- graphify
- Very active (96%)
- docetl
- Active (82%)
Days since push
- graphify
- 0d
- docetl
- 18d
Open issues (now)
- graphify
- 452
- docetl
- 41
Full report
- graphify
- Trust report
- docetl
- Trust report
Choose graphify if…
- Requirements: Ensure to install from the correct PyPI package named `graphifyy` (with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed..
- Tags unique to graphify: claude code, codex, gemini, knowledge-graph.
- When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together.
When NOT to use graphify
- If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing).
- Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities.
Choose docetl if…
- Tags unique to docetl: agents, data, data-pipelines, document-analysis.
- Also covers LLM Frameworks.
- docetl ships Docker support for self-hosted deployment.
When NOT to use docetl
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- 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 (Graphify-Labs/graphify) · observed Jul 11, 2026
- GitHub forks (Graphify-Labs/graphify) · observed Jul 11, 2026
- Last push (Graphify-Labs/graphify) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ucbepic/docetl) · observed Jul 15, 2026
- GitHub forks (ucbepic/docetl) · observed Jul 15, 2026
- Last push (ucbepic/docetl) · observed Jun 26, 2026
- License file (MIT) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: graphify 82k · docetl 3.9k (synced Jul 11, 2026).
Common questions
- What is the difference between graphify and docetl?
- graphify: Turn any code or documentation into a queryable knowledge graph. docetl: A system for agentic LLM-powered data processing and ETL. See the comparison table for live GitHub stats and shared categories.
- When should I choose graphify over docetl?
- Choose graphify over docetl when Requirements: Ensure to install from the correct PyPI package named
graphifyy(with double 'y') and not other similar-named packages which are unaffiliated.; Installation involves setting up a Python environment ('venv') and ensuring all required extras are installed.; Tags unique to graphify: claude code, codex, gemini, knowledge-graph; When you need to turn diverse file types (code, SQL schemas, documents, images) into a single queryable data structure that can be searched and analyzed together. - When should I choose docetl over graphify?
- Choose docetl over graphify when Tags unique to docetl: agents, data, data-pipelines, document-analysis; Also covers LLM Frameworks; docetl ships Docker support for self-hosted deployment.
- When should I avoid graphify?
- If the project exclusively involves text-based content without requiring integration or querying across different file types (e.g., plain documents with no need for cross-referencing). Avoid using Graphify if you are looking for a tool that focuses solely on visual graph representation without the depth of semantic querying capabilities.
- When should I avoid docetl?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is graphify or docetl more popular on GitHub?
- graphify has more GitHub stars (82,139 vs 3,888). Stars measure visibility, not whether either tool fits your constraints.
- Are graphify and docetl open source?
- Yes - both are open-source projects on GitHub (graphify: MIT, docetl: MIT).
- Where can I find alternatives to graphify or docetl?
- GraphCanon lists graph-backed alternatives at graphify alternatives and docetl alternatives (graphify markdown twin, docetl 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, graphify or docetl?
- graphify: Very active. docetl: 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 graphify and docetl?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphify trust report; docetl trust report.