koxudaxi/datamodel-code-generator - Open Source PR Review Scorecard

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

C-Rank Grade: B (Solid) - 55/100

External PR Merge Rate: 90%

Response Time: 12d

First Timer Success: 83%

Frequently Asked Questions

Is koxudaxi/datamodel-code-generator welcoming to first-time open-source contributors?

koxudaxi/datamodel-code-generator has a recorded first-timer success rate of 83.3%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in koxudaxi/datamodel-code-generator respond to incoming external pull requests in approximately 285.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 54.6 C-Rank™ score (B Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 54.6 places koxudaxi/datamodel-code-generator in the B tier.

What is the external contributor pull request merge rate for koxudaxi/datamodel-code-generator?

The external contributor pull request merge rate for koxudaxi/datamodel-code-generator is 89.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in koxudaxi/datamodel-code-generator?

koxudaxi/datamodel-code-generator does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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koxudaxi/datamodel-code-generator

4,010
InactiveB•Solid(55/100)Python

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in koxudaxi/datamodel-code-generator. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
11 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
89.6%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
83.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
89.6%
Merge Gauge
83.3%
1st-Timer
Community Vibe61/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for koxudaxi/datamodel-code-generator
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/koxudaxi/datamodel-code-generator)](https://getmerged.abhishekco.de/koxudaxi/datamodel-code-generator?utm_source=github&utm_medium=badge)

Active Good First Issues (1)

View on GitHub

Is your feature request related to a problem? Please describe. I'm exporting data from APIs that provide e.g. OpenAPI Specs, and the data is then transformed and used elsewhere. The downstream usage is more database-like, where tools like ibis come really handy. That however doesn't work with e.g. the suggested Pydandtic v2 generated models. What would work, instead is using a model defined by Pandera's DataFrameModel, which then can be validated, and transformed between very different dataframe types. Describe the solution you'd like Being able to select --output-model-type to be something like "pandera.DataFrameModel", and it would generate the data model + fields based on the OpenAPI spec. Describe alternatives you've considered Manually translating the generated Pydantic schema into Panderas schema, or adding conversions for each generated model along these lines. Additional context None at the moment.

📅 Opened Feb 6, 2026💬 0 comments
Quality: 30/100Contribute
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Contributor Compatibility & Review Speed Analysis for koxudaxi/datamodel-code-generator

When evaluating whether to contribute to koxudaxi/datamodel-code-generator, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of koxudaxi/datamodel-code-generator acknowledge new external contributions in approximately 11 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 89.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to koxudaxi/datamodel-code-generator

01

Is koxudaxi/datamodel-code-generator welcoming to first-time open-source contributors?

koxudaxi/datamodel-code-generator has a recorded first-timer success rate of 83.3%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~11 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 54.6 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 54.6 places koxudaxi/datamodel-code-generator in the Solid tier.

04

What is the external contributor pull request merge rate for koxudaxi/datamodel-code-generator?

The external pull request merge rate is 89.6%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in koxudaxi/datamodel-code-generator?

koxudaxi/datamodel-code-generator does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for koxudaxi/datamodel-code-generator are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.