Analysis updated 2026-07-13 · repo last pushed 2020-05-22
Solve LeetCode algorithm problems using the Feel programming language.
Practice coding interview questions while learning or exploring the Feel language.
Test Feel against standard coding benchmarks to see how it handles common algorithmic challenges.
| hwdef/leetcode-feel | 0xhassaan/nn-from-scratch | 0xzgbot/hermes-comfyui-skills | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | — | Python | — |
| Last pushed | 2020-05-22 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 2/5 | 4/5 | 1/5 |
| Audience | developer | developer | designer |
Figures from each repo's GitHub metadata at analysis time.
The README is minimal with no installation or usage details, so you will need to explore the repository directly to figure out the setup.
Leetcode-feel is a project that connects the Feel programming language with Leetcode, the popular platform for coding interview problems. In simple terms, it lets you solve Leetcode's algorithm challenges using Feel as your language of choice, rather than the usual options like Python or Java. At a high level, the repository likely contains scripts or configurations that integrate Feel with Leetcode's testing environment. This means someone could write a solution to a coding problem in Feel and have it evaluated by the platform. The exact setup details aren't provided, but the core idea is to bridge the two so Feel becomes a viable tool for practicing coding interviews or algorithmic puzzles. Who would use this? Someone learning or working with the Feel language who also wants to practice coding problems on Leetcode. For example, if you're a developer exploring Feel and want to sharpen your problem-solving skills, this repo would let you do both at once. It might also appeal to language enthusiasts who enjoy testing a newer or less common language against standard coding benchmarks. The README is very minimal, so it doesn't go into detail about installation, usage, or any specific features beyond the core concept. There's no mention of tradeoffs, limitations, or how robust the integration is. If you're curious about how well it works or what setup steps are involved, you'd need to explore the repository directly or look for additional documentation.
Leetcode-feel lets you solve LeetCode coding interview problems using the Feel programming language, bridging Feel with LeetCode's testing platform so you can practice algorithms in a less common language.
Dormant — no commits in 2+ years (last push 2020-05-22).
No license information is provided in the repository, so usage rights are unclear.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.