Identify programming languages
using AI
Below is a free classifier to identify programming languages. Just input your text, and our AI will predict which programming language was used - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("programming-languages-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/programming-languages-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/programming-languages-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict which programming language was used.
This pretrained text model uses a Nyckel-created dataset and has 21 labels, including Javascript and Python.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which programming language was used).
Whether you're just curious or building programming languages detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify programming languages at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Job Posting Segmentation: An online job portal can use the multilabel text classifier to identify different programming languages mentioned in job descriptions. This will enable the portal to categorize jobs based on required programming skills, creating an easier experience for job seekers.
- Content Recommendations: Educational platforms can classify their content (such as blogs, tutorials, and courses) based on the programming languages they pertain to. This can make course and content recommendations more personalized and effective to the users.
- Skill Gap Analysis: Companies can use the classifier to identify the programming languages used in their projects and compare these with the skill sets of their employees, helping identify potential training needs or areas where new hires could be necessary.
- Tech Stack Identification: Software development companies can use this function to scan project requirements or software documentation, identifying the programming languages involved and helping to select the appropriate tech stack for the project.
- Competitive Intelligence: By using the multilabel text classification on competitor's job postings and public code repositories, companies can gain insights into the programming languages and expertise they are investing in, giving valuable intelligence for strategic decision-making.
- Academic Research: Researchers studying trends in software development can use this function to facilitate the analysis of a huge number of documents or text instances, providing an efficient way of identifying the usage of programming languages in different time periods, industries and geographies.
- Recruiting Agency Filtering: Recruiting agencies can use this classifier to identify the programming languages mentioned in a CV, allowing them to efficiently match candidates with jobs that require specific programming language expertise.