Programming Language Detector
by maged120
Instantly identify over 100 programming languages from code snippets with high accuracy and confidence scores. Perfect for developers sorting legacy code or analyzing new projects.
Opens on Apify.com
About Programming Language Detector
Ever found yourself staring at a code snippet with no clue what language it's written in? I've been there. This Programming Language Detector is the tool I wish I'd had years ago. It takes the guesswork out of identifying code, whether you're sorting through legacy files, analyzing a new project, or just trying to figure out what you're looking at. It doesn't just spit out a name; it gives you a confidence score so you know how sure it is, which is super helpful for those tricky, mixed-language files. Under the hood, it uses smart pattern matching and heuristics that I've found to be spot-on. It recognizes over 100 programming languages and frameworks, from the big ones like Python and JavaScript to more niche ones. I use it mostly to automate the categorization of code in my projects and to quickly understand unfamiliar repositories. It saves me a ton of time that I'd otherwise spend searching or asking around. It's straightforward, reliable, and just does the job well.
What does this actor do?
Programming Language Detector is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
Programming Language Detector
Overview
This Actor detects the programming language of a given code snippet or file. It analyzes source code or a file URL and returns the identified language with a confidence score. It supports over 100 languages and is built for integration into automation workflows, code analysis, or repository indexing.
Key Features
- Accurate Detection: Uses pattern matching and heuristics to identify languages, even in ambiguous or mixed-language files (e.g., HTML with CSS and JavaScript).
- Fast Performance: Optimized with techniques like dynamic sampling and early stopping to handle large files efficiently.
- Flexible Input: Accepts either raw source code text or a publicly accessible file URL.
- Detailed Output: Provides the primary detected language, a confidence score, a list of candidate languages, and a brief analysis.
How to Use
Provide the Actor with an input containing either a sourceCode string or a fileUrl. If both are provided, sourceCode takes precedence.
Input Requirements
The input must be a JSON object with at least one of these fields:
* sourceCode: A string containing the raw code to analyze.
* fileUrl: A publicly accessible URL to a file (e.g., a GitHub raw file URL).
Input Examples
Using raw source code:
{
"sourceCode": "def hello():\n print('Hello, world!')"
}
Using a file URL:
{
"fileUrl": "https://example.com/sample.cr"
}
Input/Output
Output Format
The Actor returns a JSON object with these fields:
* language: The detected primary programming language.
* extension: The common file extension for that language.
* confidence: A score from 0 to 1 indicating detection certainty.
* candidates: An object listing all considered languages and their confidence scores.
* analysis: A short textual summary of the detection.
Output Example
For a Python code input, the output might look like:
{
"language": "python",
"extension": ".py",
"confidence": 0.92,
"candidates": {
"python": 0.92,
"ruby": 0.15
},
"analysis": "High confidence detection: python"
}
Error Handling
If no valid input is provided, the Actor fails with the message:
No input provided. Please provide either 'sourceCode' or 'fileUrl'.
Supported Languages
The detector supports a wide range of languages and formats, including (but not limited to): Python, JavaScript, TypeScript, HTML, CSS, Java, C, C++, C#, PHP, Ruby, Rust, Go, Swift, SQL, Bash, PowerShell, Kotlin, Scala, and Markdown.
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Programming Language Detector now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- maged120
- Pricing
- Paid
- Total Runs
- 269
- Active Users
- 20
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