DAGWorks
by DAGWorks Inc. · Hosted UI and cloud for the Apache Hamilton and Apache Burr Python frameworks
40.2 — BenchRank score out of 100
Screenshots of DAGWorks
Homepage Pricing page
Overview
DAGWorks builds hosted tooling around two open-source Python frameworks: Apache Hamilton for ML and RAG pipelines, and Apache Burr for GenAI and agentic applications. The Hamilton UI, self-hosted or as SaaS, provides provenance and lineage, observability and a catalogue. Apache Burr Cloud offers hosted execution, state management and persistence, and observability.
- Best for
- Python teams building RAG, ML or agentic apps who want lineage and observability on pipelines
- Pricing
- The pricing page names a 14-day trial at the Team level and says Apache Burr Cloud pricing is coming soon, but shows no prices in the captured text.
- Runs on
- WebSelf-hostedCLI
Strengths and trade-offs
Strengths
- Built on the open-source Apache Hamilton and Apache Burr projects
- Hamilton UI can be self-hosted or used as SaaS
- Lineage, catalogue and observability views in one place
- 14-day trial at the Team level for everyone
Trade-offs
- Pricing page shows no figures for the hosted plans
- Apache Burr Cloud is listed as coming soon, not yet available
- Only useful if you adopt the Hamilton or Burr frameworks in your code
- Two separate frameworks to choose between for ML versus GenAI work
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
- MCP support
- 0 out of 100
- API quality
- 30 out of 100
- Documentation
- 60 out of 100
- Agent friendliness
- 40 out of 100
- Pricing transparency
- 35 out of 100
- Changelog
- 80 out of 100
- Marketing site structure
- 85 out of 100
- Operational trust
- 25 out of 100
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
- Openness
- 60 out of 100
- Maintenance
- 100 out of 100
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