Comparison
xgboost vs Amphion
Verdict
Pick xgboost when xgboost is primarily C++; Amphion is Python; pick Amphion when amphion is primarily Python; xgboost is C++.
Markdown twin · xgboost alternatives · Amphion alternatives
GraphCanon updated today
Trust & integrity
| Signal | xgboost | Amphion |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Slowing (107d 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
- xgboost
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
- Amphion
- Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio,
Stars
- xgboost
- 29k
- Amphion
- 9.9k
Forks
- xgboost
- 8.9k
- Amphion
- 822
Open issues
- xgboost
- 472
- Amphion
- 175
Language
- xgboost
- C++
- Amphion
- Python
Adopt for
- xgboost
- -
- Amphion
- -
Persona
- xgboost
- -
- Amphion
- -
Runtime
- xgboost
- -
- Amphion
- -
License
- xgboost
- Apache-2.0
- Amphion
- MIT
Last pushed
- xgboost
- Jul 10, 2026
- Amphion
- Mar 25, 2026
Categories
- xgboost
- Computer Vision
- Amphion
- Speech & Audio, Computer Vision, Inference & Serving
Trust and health
Maintenance
- xgboost
- Very active (96%)
- Amphion
- Slowing (36%)
Days since push
- xgboost
- 1d
- Amphion
- 107d
Open issues (now)
- xgboost
- 472
- Amphion
- 175
Full report
- xgboost
- Trust report
- Amphion
- Trust report
Choose xgboost if…
- xgboost is primarily C++; Amphion is Python.
- License: xgboost is Apache-2.0, Amphion is MIT.
- Tags unique to xgboost: gbdt, machine-learning, gbrt, c.
Choose Amphion if…
- Amphion is primarily Python; xgboost is C++.
- License: Amphion is MIT, xgboost is Apache-2.0.
- Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia.
- Also covers Speech & Audio, Inference & Serving.
- Amphion ships Docker support for self-hosted deployment.
When NOT to use Amphion
- Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dmlc/xgboost) · observed Jul 11, 2026
- GitHub forks (dmlc/xgboost) · observed Jul 11, 2026
- Last push (dmlc/xgboost) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (open-mmlab/Amphion) · observed Jul 11, 2026
- GitHub forks (open-mmlab/Amphion) · observed Jul 11, 2026
- Last push (open-mmlab/Amphion) · observed Mar 25, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: xgboost 29k · Amphion 9.9k (synced Jul 11, 2026).
Common questions
- What is the difference between xgboost and Amphion?
- xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow. Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, . See the comparison table for live GitHub stats and shared categories.
- When should I choose xgboost over Amphion?
- Choose xgboost over Amphion when xgboost is primarily C++; Amphion is Python; License: xgboost is Apache-2.0, Amphion is MIT; Tags unique to xgboost: gbdt, machine-learning, gbrt, c.
- When should I choose Amphion over xgboost?
- Choose Amphion over xgboost when Amphion is primarily Python; xgboost is C++; License: Amphion is MIT, xgboost is Apache-2.0; Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; Also covers Speech & Audio, Inference & Serving; Amphion ships Docker support for self-hosted deployment.
- When should I avoid Amphion?
- Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is xgboost or Amphion more popular on GitHub?
- xgboost has more GitHub stars (28,553 vs 9,927). Stars measure visibility, not whether either tool fits your constraints.
- Are xgboost and Amphion open source?
- Yes - both are open-source projects on GitHub (xgboost: Apache-2.0, Amphion: MIT).
- Where can I find alternatives to xgboost or Amphion?
- GraphCanon lists graph-backed alternatives at xgboost alternatives and Amphion alternatives (xgboost markdown twin, Amphion 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, xgboost or Amphion?
- xgboost: Very active. Amphion: Slowing. 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 xgboost and Amphion?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: xgboost trust report; Amphion trust report.