Alternatives
Products that do what SolveLog does
LeetCode solutions and DSA lessons, explained step by step.
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- 2GA
2016 · gridmaster.io
- 3AS
2019 · github.com
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- 5AI
2017 · github.com
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Learn math and science with interactive visual explanations
Mar 2026
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Save 30% of dev time - generate tests without writing code
2023
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- 11LI
2021 · github.com
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- 13DD
2016 · github.com
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- 15AO
2020 · github.com
- 16DR
I made a DSA practice tool for Ruby. It’s test-driven, runs locally, and is easy to extend with new exercises. Would love feedback on the interface and which problems to add next. The objective is to cement ability to implement core algorithms through repetition. This test suite is not like LeetCode. In fact, it’s more of a prerequisite to LeetCode. The test cases are not exhaustive in the spirit of checking for runtime performance, scalability, etc. Implementations are generalized, so that through practice using this tool, the user can begin avoiding having to think about the algorithmic…
2025 · github.com
- 17BA
2018 · producthunt.com
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You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1000 problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!
25d ago · github.com
- 19AO
Hi, We are building an open-source framework for loading and structuring LLM context to create accurate and explainable LLM answers using knowledge graphs and vector stores. We built the tool with four main concepts in mind: 1. Loader -> uses dlt in the backend to load and structure the data 2. Cognify step -> creates a graph with summaries, labels and factoids that are interconnected across the documents and stored as a representation in the vector store 3. Optimizer -> Uses DSPy to optimize LLM queries, and we plan to extend it to most of the knobs we can turn, like chunking etc. 4. Search…
2024 · github.com
- 20TN
2020 · theorylog.com
- 21IW
2022 · github.com
- 22PC
2015 · prolog.jldupont.com
- 23WC
Hi all, I'm Ivan, and together with Alex, we're building a diagram visualization tool for codebases. Alex and I are devs, and we've noticed that recently we've been super productive at writing code (prompting :D). But when it comes to understanding big systems, prompting doesn't work that well — for that, diagrams are best imo. Most tools out there don't scale to big projects (e.g. PyTorch), so we're building CodeBoarding — a recursive visualizer for codebases. It starts from the highest level of abstractions and lets you dive deeper. We use static analysis and LLM agents. The control-flow…
2025 · github.com
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