kyegomez/swarms - Open Source PR Review Scorecard

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 43%

Response Time: -

First Timer Success: 18%

Frequently Asked Questions

Is kyegomez/swarms welcoming to first-time open-source contributors?

kyegomez/swarms has a recorded first-timer success rate of 18.2%. Repositories ranked A 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 kyegomez/swarms 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 65.9 C-Rank™ score (A 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 65.9 places kyegomez/swarms in the A tier.

What is the external contributor pull request merge rate for kyegomez/swarms?

The external contributor pull request merge rate for kyegomez/swarms is 43.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in kyegomez/swarms?

kyegomez/swarms currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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kyegomez/swarms

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The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
6.1/10
Patience Score
6.8/10
Nitpick Rate
51%

Rigorous architecture standards (77% critical review signals). Ensure PRs strictly follow guidelines before requesting review in kyegomez/swarms.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
43.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
18.2%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
17 core
Highly collaborative maintainer core
Diagnostic Health HUD
43.4%
Merge Gauge
18.2%
1st-Timer
Community Vibe23/100

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

Active Good First Issues (4)

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What Four separate helpers recursively walk dict/list/tuple structures and produce an indented key: value string. They differ only in bracket and quote cosmetics. Function Location Lines Callers format_data_structure swarms/utils/index.py:46-155 110 agent.py ×7 format_dict_to_string swarms/utils/index.py:13-43 31 0 (only the __init__ re-export) any_to_str swarms/utils/any_to_str.py:4-63 60 consistency_agent, swarm_rearrange, conversation, agent_rearrange, model_router function_to_str / functions_to_str swarms/tools/func_to_str.py 42 reachable only via the dead base_tool methods Analysis format_dict_to_string is strictly redundant — format_data_structure already handles every case it does, and it has zero callers. Pure deletion. any_to_str and format_data_structure genuinely overlap — same traversal, different output cosmetics. They can be one function with a style= parameter. func_to_str.py dies automatically with the base_tool.py dead-method cleanup (see that iss

📅 Opened Aug 9, 2026💬 1 comment
Quality: 80/100Contribute

What swarms/utils/formatter.py (987 lines) carries three public methods with zero callers and a hardcoded regex block that collapses to two patterns. 1. Dead print methods (142 lines) Verified 0 hits across swarms/, tests/, and examples/: Method Lines Span print_progress 28 487-514 print_panel_token_by_token 35 515-549 print_plan_tree 79 750-828 2. print_markdown is a redundant alias (21 lines) print_markdown (:446-466) is used only by tests/utils/test_formatter.py:120 — no production caller. Its body is self.markdown_handler.render_markdown_output(content, title, border_style), which is identical to the print_panel markdown branch at :434-437. Either delete it and update the test, or keep it as a documented one-line alias. 3. _clean_output — 8 near-identical regexes (~30 lines) MarkdownOutputHandler._clean_output (:39-113) hardcodes eight re.sub log-stripping patterns at :44-79 that differ only by the log level name (INFO, DEBUG, WARNING, ERROR, …). These collapse

📅 Opened Aug 9, 2026💬 1 comment
Quality: 80/100Contribute

What 23 files in swarms/prompts/ are never imported by anything — not by swarms/, not by tests/, not by examples/. Together they are ~1,677 lines of legacy persona prompts that no code path can reach. The files Lines File 276 autobloggen.py 104 xray_swarm_prompt.py 103 agent_self_builder_prompt.py 102 self_operating_prompt.py 101 multi_modal_prompts.py 97 support_agent_prompt.py 91 ai_research_team.py 90 accountant_swarm_prompts.py 88 sop_generator_agent_prompt.py 88 sales_prompts.py 78 project_manager.py 75 agent_orchestration_prompt.py 62 code_spawner.py 54 swarm_manager_agent.py 52 meta_system_prompt.py 48 multi_modal_visual_prompts.py 41 visual_cot.py 39 urban_planning.py 38 personal_stylist.py 23 aot_prompt.py 14 idea2img.py 13 task_assignment_prompt.py 0 refiner_agent_prompt.py (empty file) Verification method For each file, both the module name and every exported symbol (prompt constants, functions) were grepped across the

📅 Opened Aug 9, 2026💬 1 comment
Quality: 80/100Contribute

What Delete the rest of swarms/structs/various_alt_swarms.py (527 lines remaining). Background The file originally held 1,103 lines. PR #1825 removed 576 of them (the 10 math-sequence classes: FibonacciSwarm, PrimeSwarm, PowerSwarm, LogSwarm, ExponentialSwarm, GeometricSwarm, HarmonicSwarm, StaircaseSwarm, SigmoidSwarm, SinusoidalSwarm). This issue tracks deleting the remainder. What still remains (all dead) A second, colliding BaseSwarm at various_alt_swarms.py:15-67, entirely unrelated to swarms/structs/base_swarm.py CircularSwarm, StarSwarm, MeshSwarm, PyramidSwarm OneToOne, Broadcast, OneToThree Why it should go Zero references repo-wide. Verified across .py and .md in swarms/, tests/, and examples/ — module name and every exported class name. The module is not imported in swarms/structs/__init__.py, so it is unreachable through the public API. It is a worse duplicate of live code. swarms/structs/swarming_architectures.py (360 lines) implements circular_swarm, star_swarm, m

📅 Opened Aug 9, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for kyegomez/swarms

When evaluating whether to contribute to kyegomez/swarms, 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 kyegomez/swarms acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 43.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to kyegomez/swarms

01

Is kyegomez/swarms welcoming to first-time open-source contributors?

kyegomez/swarms has a recorded first-timer success rate of 18.2%. Repositories ranked Welcoming 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 65.9 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 65.9 places kyegomez/swarms in the Welcoming tier.

04

What is the external contributor pull request merge rate for kyegomez/swarms?

The external pull request merge rate is 43.4%. 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 kyegomez/swarms?

Yes, kyegomez/swarms currently has 3 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 kyegomez/swarms 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.