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Bayan Flow (0.5.0)
Learn algorithms through step-by-step visualizations
Bayan Flow is a free, open-source algorithm visualizer with a live in-browser Python editor, video export, and full Arabic RTL support. Version 0.5.0 adds two new categories: tree traversals and graph algorithms, plus a pseudocode tab for every algorithm. You can also sign in with Google to save favorite algorithms and write per-algorithm study notes that follow you across sessions. Still 100% free and open-source for all students and teachers.
Hey People!
Built this solo on weekends; it's been about 4 months since the last release. This new version adds two new algorithm categories: tree traversals and graph algorithms.
Also new this release: accounts (Google sign-in), so you can save favorite algorithms and write per-algorithm study notes that follow you across sessions, plus a pseudocode tab for every algorithm.
About Bayan Flow (0.5.0) on Product Hunt
“Learn algorithms through step-by-step visualizations”
Bayan Flow (0.5.0) was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #87 on the daily leaderboard. Bayan Flow is a free, open-source algorithm visualizer with a live in-browser Python editor, video export, and full Arabic RTL support. Version 0.5.0 adds two new categories: tree traversals and graph algorithms, plus a pseudocode tab for every algorithm. You can also sign in with Google to save favorite algorithms and write per-algorithm study notes that follow you across sessions. Still 100% free and open-source for all students and teachers.
On the analytics side, Bayan Flow (0.5.0) competes within Open Source, User Experience, Education and GitHub — topics that collectively have 557.9k followers on Product Hunt. The dashboard above tracks how Bayan Flow (0.5.0) performed against the three products that launched closest to it on the same day.
Who hunted Bayan Flow (0.5.0)?
Bayan Flow (0.5.0) was hunted by Ayoub Abidi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Ayoub Abidi