Home/Compare/hop vs ragflow

Comparison

hop vs ragflow

Verdict

Pick hop when hop is primarily Java; ragflow is Go; pick ragflow when ragflow is primarily Go; hop is Java.

Markdown twin · hop alternatives · ragflow alternatives

GraphCanon updated today

hop logo

hop

apache/hop

1.4kpushed Jul 15, 2026
vs
ragflow logo

ragflow

infiniflow/ragflow

85kpushed Jul 11, 2026

Trust & integrity

Signalhopragflow
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
Published findings
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
ragflow
Retrieval-Augmented Generation engine with agent capabilities

Stars

hop
1.4k
ragflow
85k

Forks

hop
462
ragflow
9.9k

Open issues

hop
704
ragflow
2.3k

Language

hop
Java
ragflow
Go

Adopt for

hop
-
ragflow
RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.

Persona

hop
-
ragflow
-

Runtime

hop
-
ragflow
-

License

hop
Apache-2.0
ragflow
Apache-2.0 License

Last pushed

hop
Jul 15, 2026
ragflow
Jul 11, 2026

Categories

hop
AI Agents, Data & Retrieval
ragflow
AI Agents, Data & Retrieval

Trust and health

Open issues (now)

hop
704
ragflow
2.3k

OSV dependency advisories

hop
No lockfile (source not queried)
ragflow
Published findings

Full report

Choose hop if…

  • hop is primarily Java; ragflow is Go.
  • Tags unique to hop: apache, data-integration, etl, hop.
  • More recently updated (last pushed Jul 15, 2026).

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 ragflow if…

  • ragflow is primarily Go; hop is Java.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation.
  • ragflow ships Docker support for self-hosted deployment.
  • - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When NOT to use ragflow

  • - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
  • - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
  • - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

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 · ragflow 85k (synced Jul 15, 2026).

Common questions

What is the difference between hop and ragflow?
hop: Hop Orchestration Platform. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
When should I choose hop over ragflow?
Choose hop over ragflow when hop is primarily Java; ragflow is Go; Tags unique to hop: apache, data-integration, etl, hop; More recently updated (last pushed Jul 15, 2026).
When should I choose ragflow over hop?
Choose ragflow over hop when ragflow is primarily Go; hop is Java; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
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 ragflow?
- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Is hop or ragflow more popular on GitHub?
ragflow has more GitHub stars (84,818 vs 1,417). Stars measure visibility, not whether either tool fits your constraints.
Are hop and ragflow open source?
Yes - both are open-source projects on GitHub (hop: Apache-2.0, ragflow: Apache-2.0).
Where can I find alternatives to hop or ragflow?
GraphCanon lists graph-backed alternatives at hop alternatives and ragflow alternatives (hop markdown twin, ragflow 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 ragflow?
hop: Very active. ragflow: 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 ragflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hop trust report; ragflow trust report.

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