Home/Compare/hop vs graphify

Comparison

hop vs graphify

Verdict

Pick hop when hop is primarily Java; graphify is Python; pick graphify when graphify is primarily Python; hop is Java.

Markdown twin · hop alternatives · graphify alternatives

GraphCanon updated today

hop logo

hop

apache/hop

1.4kpushed Jul 15, 2026
vs
graphify logo

graphify

Graphify-Labs/graphify

82kpushed Jul 11, 2026

Trust & integrity

Signalhopgraphify
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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

hop
Hop Orchestration Platform
graphify
Turn any code or documentation into a queryable knowledge graph

Stars

hop
1.4k
graphify
82k

Forks

hop
462
graphify
8.1k

Open issues

hop
704
graphify
452

Language

hop
Java
graphify
Python

Adopt for

hop
-
graphify
Graphify transforms a variety of inputs into a unified knowledge graph, ideal for creating searchable insights from mixed content types.

Persona

hop
-
graphify
-

Runtime

hop
-
graphify
-

License

hop
Apache-2.0
graphify
MIT

Last pushed

hop
Jul 15, 2026
graphify
Jul 11, 2026

Categories

hop
AI Agents, Data & Retrieval
graphify
AI Agents, Data & Retrieval

Trust and health

Open issues (now)

hop
704
graphify
452

Full report

graphify
Trust report

Choose hop if…

  • hop is primarily Java; graphify is Python.
  • License: hop is Apache-2.0, graphify is MIT.
  • Tags unique to hop: apache, data-integration, etl, hop.

When NOT to use hop

  • 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.

Choose graphify if…

  • graphify is primarily Python; hop is Java.
  • License: graphify is MIT, hop is Apache-2.0.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hop 1.4k · graphify 82k (synced Jul 15, 2026).

Common questions

What is the difference between hop and graphify?
hop: Hop Orchestration Platform. graphify: Turn any code or documentation into a queryable knowledge graph. See the comparison table for live GitHub stats and shared categories.
When should I choose hop over graphify?
Choose hop over graphify when hop is primarily Java; graphify is Python; License: hop is Apache-2.0, graphify is MIT; Tags unique to hop: apache, data-integration, etl, hop.
When should I choose graphify over hop?
Choose graphify over hop when graphify is primarily Python; hop is Java; License: graphify is MIT, hop is Apache-2.0; 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 avoid hop?
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.
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.
Is hop or graphify more popular on GitHub?
graphify has more GitHub stars (82,139 vs 1,417). Stars measure visibility, not whether either tool fits your constraints.
Are hop and graphify open source?
Yes - both are open-source projects on GitHub (hop: Apache-2.0, graphify: MIT).
Where can I find alternatives to hop or graphify?
GraphCanon lists graph-backed alternatives at hop alternatives and graphify alternatives (hop markdown twin, graphify 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, hop or graphify?
hop: Very active. graphify: 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 hop and graphify?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hop trust report; graphify trust report.

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