Home/Compare/dart-math vs oumi

Comparison

dart-math vs oumi

Verdict

Pick dart-math if dART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models; pick oumi if oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.

Markdown twin · dart-math alternatives · oumi alternatives

GraphCanon updated 1d

dart-math logo

dart-math

hkust-nlp/dart-math

120pushed Dec 10, 2024
vs
oumi logo

oumi

oumi-ai/oumi

9.4kpushed Aug 21, 2026

Trust & integrity

Signaldart-mathoumi
Maintenance
Dormant (595d since push)
As of 3w · github_public_v1
Very active (1d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

dart-math
Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
oumi
Easily fine-tune, evaluate and deploy open source LLMs/VLMs

Stars

dart-math
120
oumi
9.4k

Forks

dart-math
8
oumi
784

Open issues

dart-math
5
oumi
34

Language

dart-math
Jupyter Notebook
oumi
Python

Adopt for

dart-math
DART-Math provides sophisticated difficulty-aware rejection tuning for enhancing mathematical problem-solving capabilities of deep learning models.
oumi
Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.

Persona

dart-math
-
oumi
-

Runtime

dart-math
-
oumi
-

License

dart-math
MIT
oumi
Oumi is released under Apache-2.0 license, providing users with a permissive free software license that includes the terms of the MIT License while also addressing patent liability issues.

Last pushed

dart-math
Dec 10, 2024
oumi
Aug 21, 2026

Categories

dart-math
Evaluation & Observability, Inference & Serving, Model Training
oumi
Evaluation & Observability, Inference & Serving, Model Training

Trust and health

Maintenance

dart-math
Dormant (18%)
oumi
Very active (96%)

Days since push

dart-math
595d
oumi
1d

Open issues (now)

dart-math
5
oumi
34

Stars delta

dart-math
Unknown
oumi
+17 (30d)

Open issues delta

dart-math
Unknown
oumi
+3 (30d)

OSV dependency advisories

dart-math
No published findings from this source as of 2026-07-11
oumi
No lockfile (source not queried)

Full report

dart-math
Trust report

Choose dart-math if…

  • dart-math is primarily Jupyter Notebook; oumi is Python.
  • License: dart-math is MIT, oumi is Apache-2.0.
  • Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook.
  • Tags unique to dart-math: deep-learning, llm, llm-evaluation, llm-inference.
  • Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor.

When NOT to use dart-math

  • Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems.
  • Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice.

Choose oumi if…

  • oumi is primarily Python; dart-math is Jupyter Notebook.
  • License: oumi is Apache-2.0, dart-math is MIT.
  • Requirements: Requires Docker; Docker is used for standardized and portable environment deployments..
  • Tags unique to oumi: dpo, evaluation, fine-tuning, llms.
  • oumi ships Docker support for self-hosted deployment.
  • - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.

When NOT to use oumi

  • - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
  • - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).

Explore

Sources

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

GitHub stars on cards: dart-math 120 · oumi 9.4k (synced Jul 29, 2026).

Common questions

What is the difference between dart-math and oumi?
dart-math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving. oumi: Easily fine-tune, evaluate and deploy open source LLMs/VLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose dart-math over oumi?
Choose dart-math over oumi when dart-math is primarily Jupyter Notebook; oumi is Python; License: dart-math is MIT, oumi is Apache-2.0; Requirements: Min 8 GB RAM; Requires a solid understanding of deep learning frameworks like TensorFlow or PyTorch; Primarily developed for Python environment with packages such as Jupyter Notebook; Tags unique to dart-math: deep-learning, llm, llm-evaluation, llm-inference; Consider DART-Math when you need to improve the performance of your model on specific mathematical problems where difficulty is a critical factor.
When should I choose oumi over dart-math?
Choose oumi over dart-math when oumi is primarily Python; dart-math is Jupyter Notebook; License: oumi is Apache-2.0, dart-math is MIT; Requirements: Requires Docker; Docker is used for standardized and portable environment deployments.; Tags unique to oumi: dpo, evaluation, fine-tuning, llms; oumi ships Docker support for self-hosted deployment; - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
When should I avoid dart-math?
Avoid using DART-Math when simplicity and ease-of-implementation are prioritized over performance gains on complex mathematical problems. Do not use DART-Math if your application does not require fine-tuning for varying levels of difficulty in problem-solving scenarios; simpler methods may suffice.
When should I avoid oumi?
- If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations. - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
Is dart-math or oumi more popular on GitHub?
oumi has more GitHub stars (9,376 vs 120). Stars measure visibility, not whether either tool fits your constraints.
Are dart-math and oumi open source?
Yes - both are open-source projects on GitHub (dart-math: MIT, oumi: Apache-2.0).
Where can I find alternatives to dart-math or oumi?
GraphCanon lists graph-backed alternatives at dart-math alternatives and oumi alternatives (dart-math markdown twin, oumi 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, dart-math or oumi?
dart-math: Dormant. oumi: 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 dart-math and oumi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dart-math trust report; oumi trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.