Open-EO/openeo-python-client - Open Source PR Review Scorecard

Python client API for OpenEO

C-Rank Grade: D (Risky) - 8/100

External PR Merge Rate: -

Response Time: -

First Timer Success: -

Frequently Asked Questions

Is Open-EO/openeo-python-client welcoming to first-time open-source contributors?

Open-EO/openeo-python-client has a recorded first-timer success rate of 0.0%. Repositories ranked D 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 Open-EO/openeo-python-client respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 7.5 C-Rank™ score (D 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 7.5 places Open-EO/openeo-python-client in the D tier.

What is the external contributor pull request merge rate for Open-EO/openeo-python-client?

The external contributor pull request merge rate for Open-EO/openeo-python-client is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Open-EO/openeo-python-client?

Open-EO/openeo-python-client currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Open-EO/openeo-python-clientD•Risky212
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Open-EO

Open-EO/openeo-python-client

212
InactiveD•Risky(8/100)Low Sample (<20 PRs)Python

Python client API for OpenEO

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in Open-EO/openeo-python-client welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
0.0%
Selective PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

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Active Good First Issues (2)

View on GitHub

Problem The job database now contains columns that are purely internal bookkeeping (running_start_time, cpu, memory, duration). Users who open their CSV or inspect job_db.df see these alongside their own data columns, which adds noise and can be confusing. Could we expose a simplified "user view" of the database while keeping a full "developer view" internally?

📅 Opened Mar 27, 2026💬 1 comment
Quality: 30/100Contribute

pandas 3 was released earlier this week and unit tests seem to be failing on that =========================== short test summary info ============================ FAILED tests/extra/job_management/test_manager.py::TestMultiBackendJobManager::test_ensure_running_start_time_is_datetime[2024-09-01T09:00:00Z-2024-09-01T09:00:00Z-nan-2024-09-01T20:00:00Z-finished-21600] - TypeError: Invalid value '2024-09-01T10:00:00Z' for dtype 'float64' FAILED tests/udf/test_run_code.py::test_get_annotation_str[Series-pandas.core.series.Series] - AssertionError: assert 'pandas.Series' == 'pandas.core.series.Series' - pandas.core.series.Series + pandas.Series FAILED tests/udf/test_run_code.py::test_annotation_is_pandas_series - AssertionError: assert False is True + where False = _annotation_is_pandas_series('pandas.core.series.Series') =========== 3 failed, 2609 passed, 9 skipped, 165 warnings in 30.19s ===========

📅 Opened Jan 23, 2026💬 0 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for Open-EO/openeo-python-client

When evaluating whether to contribute to Open-EO/openeo-python-client, 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 Open-EO/openeo-python-client acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Open-EO/openeo-python-client

01

Is Open-EO/openeo-python-client welcoming to first-time open-source contributors?

Open-EO/openeo-python-client has a recorded first-timer success rate of 0.0%. Repositories ranked Risky 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 7.5 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 7.5 places Open-EO/openeo-python-client in the Risky tier.

04

What is the external contributor pull request merge rate for Open-EO/openeo-python-client?

The external pull request merge rate is 0.0%. 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 Open-EO/openeo-python-client?

Yes, Open-EO/openeo-python-client currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for Open-EO/openeo-python-client 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.