# GitHub Repository Insights (`kremkov-stanislav/github-repo-insights`) Actor Deep analytics for GitHub repositories: stars, forks, contributor distribution (bus factor), release cadence, language breakdown, and a transparent 0-100 Health Score. Search trending projects or analyze a fixed list. Free GitHub token recommended for 5000 req/h rate-limit. - **URL**: https://apify.com/kremkov-stanislav/github-repo-insights.md - **Developed by:** [Kremkov Stanislav](https://apify.com/kremkov-stanislav) (community) - **Categories:** Developer tools, Business - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README Pulls deep analytics for GitHub repos: stars, forks, contributor distribution (**bus factor**), release cadence, language mix, recent commit activity, and a transparent **Health Score 0–100**. Two modes: **search** (by query, language, stars, last-push) or **list** (fixed `owner/repo`). Free GitHub token recommended for 5000 req/h rate-limit. Run on the top 200 Python repos and you find: 41 of 200 have bus factor = 1 (FastAPI, Whisper, ComfyUI, …), 10 popular projects had 0 commits in the last 4 weeks, 12 still have no license. See the full README for fields, the Health Score formula, and use cases. # Actor input Schema ## `mode` (type: `string`): How to choose repositories to analyze. ## `query` (type: `string`): GitHub search syntax. Used only when mode = search. Example: 'machine learning' or 'topic:llm'. Filters from this form are appended automatically. ## `language` (type: `string`): Restrict by primary language (e.g. Python, Rust, TypeScript). Empty = any. ## `minStars` (type: `integer`): Only repositories with at least this many stars. ## `pushedSince` (type: `string`): Skip stagnant repos. Empty = no filter. ## `sort` (type: `string`): Sort order for search mode. ## `maxResults` (type: `integer`): Hard cap on how many repositories to analyze in this run. Each repo costs ~5 GitHub API calls. ## `repos` (type: `array`): Used only when mode = list. Items in the form 'owner/repo'. ## `githubToken` (type: `string`): Personal access token. Strongly recommended — without it GitHub gives only 60 requests/hour. With a token: 5000/hour. ## `includeContributors` (type: `boolean`): Adds an extra API call per repo. Disable to save quota. ## `includeReleases` (type: `boolean`): Computes average days between releases. Adds an API call per repo. ## `includeLanguages` (type: `boolean`): Bytes of code per language. Adds an API call per repo. ## Actor input object example ```json { "mode": "search", "query": "", "language": "", "minStars": 100, "pushedSince": "", "sort": "stars", "maxResults": 25, "repos": [], "includeContributors": true, "includeReleases": true, "includeLanguages": true } ```` # Actor output Schema ## `datasetItems` (type: `string`): All analyzed repositories, one row each. ## `datasetOverviewLink` (type: `string`): Open the dataset using the table view defined in this Actor. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("kremkov-stanislav/github-repo-insights").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("kremkov-stanislav/github-repo-insights").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call kremkov-stanislav/github-repo-insights --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kremkov-stanislav/github-repo-insights", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GitHub Repository Insights", "description": "Deep analytics for GitHub repositories: stars, forks, contributor distribution (bus factor), release cadence, language breakdown, and a transparent 0-100 Health Score. Search trending projects or analyze a fixed list. Free GitHub token recommended for 5000 req/h rate-limit.", "version": "0.1", "x-build-id": "28d6WwISX4TuzWISG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kremkov-stanislav~github-repo-insights/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kremkov-stanislav-github-repo-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kremkov-stanislav~github-repo-insights/runs": { "post": { "operationId": "runs-sync-kremkov-stanislav-github-repo-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kremkov-stanislav~github-repo-insights/run-sync": { "post": { "operationId": "run-sync-kremkov-stanislav-github-repo-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "list" ], "type": "string", "description": "How to choose repositories to analyze.", "default": "search" }, "query": { "title": "Search query", "type": "string", "description": "GitHub search syntax. Used only when mode = search. Example: 'machine learning' or 'topic:llm'. Filters from this form are appended automatically.", "default": "" }, "language": { "title": "Language filter", "type": "string", "description": "Restrict by primary language (e.g. Python, Rust, TypeScript). Empty = any.", "default": "" }, "minStars": { "title": "Minimum stars", "minimum": 0, "type": "integer", "description": "Only repositories with at least this many stars.", "default": 100 }, "pushedSince": { "title": "Pushed since (YYYY-MM-DD)", "type": "string", "description": "Skip stagnant repos. Empty = no filter.", "default": "" }, "sort": { "title": "Sort", "enum": [ "stars", "forks", "updated" ], "type": "string", "description": "Sort order for search mode.", "default": "stars" }, "maxResults": { "title": "Max repositories", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Hard cap on how many repositories to analyze in this run. Each repo costs ~5 GitHub API calls.", "default": 25 }, "repos": { "title": "Repository list", "type": "array", "description": "Used only when mode = list. Items in the form 'owner/repo'.", "items": { "type": "string" }, "default": [] }, "githubToken": { "title": "GitHub token (optional)", "type": "string", "description": "Personal access token. Strongly recommended — without it GitHub gives only 60 requests/hour. With a token: 5000/hour." }, "includeContributors": { "title": "Include top contributors", "type": "boolean", "description": "Adds an extra API call per repo. Disable to save quota.", "default": true }, "includeReleases": { "title": "Include release cadence", "type": "boolean", "description": "Computes average days between releases. Adds an API call per repo.", "default": true }, "includeLanguages": { "title": "Include language breakdown", "type": "boolean", "description": "Bytes of code per language. Adds an API call per repo.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```