Comparison
arthas vs FLAML
Verdict
Pick arthas when arthas is primarily Java; FLAML is Jupyter Notebook; pick FLAML when fLAML is primarily Jupyter Notebook; arthas is Java.
Markdown twin · arthas alternatives · FLAML alternatives
GraphCanon updated today
Trust & integrity
| Signal | arthas | FLAML |
|---|---|---|
| Maintenance | Active (10d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- arthas
- Alibaba Java Diagnostic Tool Arthas
- FLAML
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Stars
- arthas
- 37k
- FLAML
- 4.4k
Forks
- arthas
- 7.6k
- FLAML
- 558
Open issues
- arthas
- 485
- FLAML
- 182
Language
- arthas
- Java
- FLAML
- Jupyter Notebook
Adopt for
- arthas
- Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics.
- FLAML
- -
Persona
- arthas
- -
- FLAML
- -
Runtime
- arthas
- -
- FLAML
- -
License
- arthas
- Apache-2.0
- FLAML
- MIT
Last pushed
- arthas
- Jul 1, 2026
- FLAML
- Jul 11, 2026
Categories
- arthas
- Developer Tools
- FLAML
- Developer Tools
Trust and health
Maintenance
- arthas
- Active (82%)
- FLAML
- Very active (96%)
Days since push
- arthas
- 10d
- FLAML
- 0d
Open issues (now)
- arthas
- 485
- FLAML
- 182
Full report
- arthas
- Trust report
- FLAML
- Trust report
Choose arthas if…
- arthas is primarily Java; FLAML is Jupyter Notebook.
- License: arthas is Apache-2.0, FLAML is MIT.
- Requirements: Min 1 GB RAM.
- Tags unique to arthas: agent, diagnosis, java, jvm.
- Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.
When NOT to use arthas
- Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features.
- Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.
Choose FLAML if…
- FLAML is primarily Jupyter Notebook; arthas is Java.
- License: FLAML is MIT, arthas is Apache-2.0.
- Tags unique to FLAML: automated-machine-learning, automl, classification, data-science.
When NOT to use FLAML
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alibaba/arthas) · observed Jul 11, 2026
- GitHub forks (alibaba/arthas) · observed Jul 11, 2026
- Last push (alibaba/arthas) · observed Jul 1, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/FLAML) · observed Jul 11, 2026
- GitHub forks (microsoft/FLAML) · observed Jul 11, 2026
- Last push (microsoft/FLAML) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arthas 37k · FLAML 4.4k (synced Jul 11, 2026).
Common questions
- What is the difference between arthas and FLAML?
- arthas: Alibaba Java Diagnostic Tool Arthas. FLAML: A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.. See the comparison table for live GitHub stats and shared categories.
- When should I choose arthas over FLAML?
- Choose arthas over FLAML when arthas is primarily Java; FLAML is Jupyter Notebook; License: arthas is Apache-2.0, FLAML is MIT; Requirements: Min 1 GB RAM; Tags unique to arthas: agent, diagnosis, java, jvm; Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis.
- When should I choose FLAML over arthas?
- Choose FLAML over arthas when FLAML is primarily Jupyter Notebook; arthas is Java; License: FLAML is MIT, arthas is Apache-2.0; Tags unique to FLAML: automated-machine-learning, automl, classification, data-science.
- When should I avoid arthas?
- Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value.
- When should I avoid FLAML?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is arthas or FLAML more popular on GitHub?
- arthas has more GitHub stars (37,427 vs 4,373). Stars measure visibility, not whether either tool fits your constraints.
- Are arthas and FLAML open source?
- Yes - both are open-source projects on GitHub (arthas: Apache-2.0, FLAML: MIT).
- Where can I find alternatives to arthas or FLAML?
- GraphCanon lists graph-backed alternatives at arthas alternatives and FLAML alternatives (arthas markdown twin, FLAML 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, arthas or FLAML?
- arthas: Active. FLAML: 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 arthas and FLAML?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arthas trust report; FLAML trust report.