
GitBook
Mintlify
Docusaurus
ReadMe
Archbee.io
Confluence
Git
Atlassian Bitbucket Server
Parse.ly Analytics
GoSquared People Analytics
Currents by Parse.ly
Make My Persona
Amazon Comprehend
Heap
SEMRush
Kya
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Based on our record, GitBook should be more popular than Parse.ly Analytics. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
GitBook is simple and clean, and sometimes that’s exactly what you need. I like it for early-stage products or teams with lighter documentation. You’ll eventually hit limits if your structure gets more complex, but if simplicity is your priority, it’s a solid choice. - Source: dev.to / 9 months ago
TL,DR: LaunchDarkly is great for B2C companies. Bucket is for B2B SaaS products, like GitBook — a modern, AI-integrated documentation platform. - Source: dev.to / over 1 year ago
Addison Schultz, Developer Relations Lead at GitBook, puts it simply:. - Source: dev.to / over 1 year ago
Good question that led to insightful responses. I would like to bring GitBook (https://gitbook.com) too to the comparison notes (no affiliation). They, too, focus on the collaborative, 'similar-to-git-workflow', and versioned approach towards documentation. Happy to see variety in the 'docs' tools area, and really appreciate it being FOSS. Looking forward to trying out Kalmia on some project soon. - Source: Hacker News / almost 2 years ago
You can have both a landing page (e.g.: www.your-project.dev) and a documentation website (e.g.: docs.your-project.dev). For creating documentation website GitBook is better fit than Gitlanding. GitBook is free for open source Projects (you just need to issue a request). - Source: dev.to / over 4 years ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 3 years ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / about 5 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: over 5 years ago
Mintlify - The AI-powered documentation writer. It's documentation that just appears as you build
GoSquared People Analytics - One place to understand your users
Docusaurus - Easy to maintain open source documentation websites
Currents by Parse.ly - Uncover what’s making 1 billion people pay attention
ReadMe - A collaborative developer hub for your API or code.
Make My Persona - A free buyer persona generator