Alternatives
Products that do what DevVizor does
Visualize algorithms, data structures, and code execution
- 1VD
2020 · github.com
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- 4AC
I'm making a coloring book of data structures and algorithms for programmers and students. So far I have a prototype page for a sorting algorithm (albeit a rather simple one). Here the Selection Sort coloring pages you can print. https://coderscoloringbook.com/selectionsort And here is how I colored mine. https://coderscoloringbook.com/selectionsortcolored A coloring book is not quite enough to teach algorithms on its own, but I really get a lot from visual reinforcement of what I learn from books/lectures. Do you think having coloring pages like this could…
2017
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- 7VT
Hi HN! I'm Gabriel, the author of dep-tree (https://github.com/gabotechs/dep-tree), and I wanted to show off this tool and explain why it's being really useful at my current org for dealing with code complexity. I work at a startup where business evolves really fast, and requirements change frequently, so it's easy to end up with big piles of code stacked together without a clear structure, specially with tight deadlines. I made dep-tree [1] to help us maintain a clean code architecture and a logical separation of concerns between parts of the application, which is…
2024 · github.com
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Turn codebases into interactive maps, graphs, and governance
Jul 2026 · dev-swat.com
- 9ABADS-B visualizer▲339
I've created a web app for querying and visualization of ADS-B datasets: https://adsb.exposed/ Source code: https://github.com/ClickHouse/adsb.exposed/ The results significantly exceeded my expectations because the pictures are insanely beautiful, and the data is a treasure trove. It proves many statements that were not certain: - it is feasible to generate tiles by aggregation on a pixel level (instead of hexagons or rectangular grid); - it does not require JPG/PNG tiles - we can transfer raw bitmap data with zstd compression; - it is possible to…
2024 · adsb.exposed
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- 12VSVisual SQL▲512
2020 · chartio.com
- 13DF
Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video:…
2024 · github.com
- 14AG
2022 · github.com
- 15MR
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…
Jul 2026 · microsoft.github.io
- 16NV
I built Nogic, a VSCode extension currently, because AI tools make code grow faster than developers can build a mental model by jumping between files. Exploring structure visually has been helping me onboard to unfamiliar codebases faster. It’s early and rough, but usable. Would love feedback on whether this is useful and what relationships are most valuable to visualize.
Jan 2026 · marketplace.visualstudio.com
- 17IP
This started as a hard requirement for my TUI-based editor application, it ended up going in a few different directions. A suite of tools that help with semantic code entities: https://github.com/odvcencio/gts-suite A next-gen version control system called Got: https://github.com/odvcencio/got I think this has some pretty big potential! I think there's many classes of application (particularly legacy architecture) that can benefit from these kinds of analysis tooling. My next post will be about composing all these together, an exciting project I call…
Feb 2026 · github.com
- 18FC
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
- 19DT
2020 · github.com
- 20EO
Hi HN, We're a small team working on a new dataviz engine and its applications. We built our charting engine in C++ and run it on WebAssembly. Two years ago, we launched Vizzu as an open-source animated data visualization library aimed at JS developers, allowing users to create dynamic charts. We also released a Python wrapper under the name ipyvizzu for data scientists. Since then, we've been working hard to make this technology accessible to everyone, regardless of their coding skills. Today, we're proud to introduce our no-code storytelling tool. With this tool, anyone can turn their…
2024 · vizzu.io
- 21CC
2020 · codemap.app
- 22PM
2017 · zwischenzugs.com
- 23SA
We built Sortabase to let communities collaborate on visual databases of the things they know and care about. The fields of each database are defined by its moderators using a no-code drag-n-drop interface, and the resulting database is easy to search, filter, sort, and contribute to. The platform is 100% free to use - take a look, and feedback is appreciated!
2023 · sortabase.com
- 24GR
I built this as part of my quest to properly learn data visualization. The code is the easy part! Some lessons learned: - personal verification of the the general truth that pie charts are tough! and the returns are not great for the effort due to people's difficulties perceiving angles - may not use "vanilla" d3 with no React. was difficult to adapt for mobile - the GitHub API provides fairly standardized responses so building dynamic charts wasn't too bad. But when working with streaming data (say Kafka) I can see this getting interesting... schema registry should help but creating a view…
2024 · see-my-repo.netlify.app
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