gitwtfhub

wtf is programming-languages-csv?

parthsareen/programming-languages-csv — explained in plain English

Analysis updated 2026-07-03 · repo last pushed 2015-07-15

Audience · developerComplexity · 1/5DormantSetup · easy

TL;DR

A simple downloadable CSV file containing a list of programming languages pulled from Wikipedia, ready to use for dropdowns, data analysis, or any project needing a language reference list.

Mindmap

mindmap
  root((repo))
    What it does
      CSV of language names
      Sourced from Wikipedia
      Ready to download
    Use cases
      Dropdown menus
      Data analysis projects
      Research starting point
    Audience
      Product builders
      Data analysts
      Researchers
    Format
      Plain text CSV
      Opens in Excel
      No installation needed

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

Why would anyone build with this?

REASON 1

Populate a dropdown menu of programming languages in a web app.

REASON 2

Provide a starting dataset for analyzing trends across language ecosystems.

REASON 3

Use as a quick reference list of known programming languages.

What's in the stack?

CSV

How it stacks up

parthsareen/programming-languages-csv0verflowme/alarm-clock0xhassaan/nn-from-scratch
Stars0
LanguageCSSPython
Last pushed2015-07-152022-10-03
MaintenanceDormantDormant
Setup difficultyeasyeasymoderate
Complexity1/52/54/5
Audiencedevelopervibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you spin it up?

Difficulty · easy Time to first run · 5min

No setup required, just download the CSV file and open it in any text editor or spreadsheet application.

Wtf does this do

programming-languages-csv is exactly what it sounds like: a simple, downloadable list of programming languages, pulled from Wikipedia and saved as a plain spreadsheet file. If you've ever needed a ready-made list of language names for a dropdown menu, a data analysis project, or just to browse what's out there, this saves you the trouble of scraping Wikipedia yourself. The file is in CSV format, which is just a plain-text spreadsheet that opens in Excel, Google Sheets, or any text editor. Each row represents one programming language. There's no software to install or configure, you just download the file and use it however you like. This would be handy for anyone building a developer-facing product. Say you're creating a coding profile platform and need users to select their languages from a list, or you're doing research on trends across language ecosystems and need a starting dataset. Instead of manually typing out names or writing a script to collect them, you can grab this file and be done in seconds. The README doesn't go into detail about how the data was fetched, how often it's updated, or exactly which fields are included beyond the language names. So if you need metadata like language paradigms, creation dates, or authors, you'd likely need to supplement this with another source. It's a straightforward utility project, a small time-saver for anyone who needs a clean list without building one from scratch.

Yoink these prompts

Prompt 1
Load the programming-languages-csv file into Python and create a simple dropdown menu widget using the language names.
Prompt 2
Import the programming languages CSV into a SQL database table and write a query to filter languages by their first letter.
Prompt 3
Read the programming-languages-csv file in JavaScript and render the list as an HTML select element with alphabetized options.

Frequently asked questions

wtf is programming-languages-csv?

A simple downloadable CSV file containing a list of programming languages pulled from Wikipedia, ready to use for dropdowns, data analysis, or any project needing a language reference list.

Is programming-languages-csv actively maintained?

Dormant — no commits in 2+ years (last push 2015-07-15).

How hard is programming-languages-csv to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is programming-languages-csv for?

Mainly developer.

View the repo → Decode another repo

This repo across BitVibe Labs

Don't trust strangers blindly. Verify against the repo.