Leanbe.ai
productboard
Roadmap
Canny
Poda
Waymark
AnnounceKit
ProductFlare
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
Have you ever built a product feature that simply didn't meet your users' expectations or real needs? We have, too. That's why we created Leanbe. It is a smart tool covering all the 3 steps in the product development cycle: feedback collection, roadmap generation and user notification. Thus the full loop of data collection, analysis and planning the future actions is based on a data-driven and user-oriented approach. Leanbe is a platform that helps collect feedback & feature requests, generate a roadmap & notify users about releases and updates.
Leanbe.ai JupyterNo features have been listed yet.
Based on our record, Jupyter seems to be a lot more popular than Leanbe.ai. While we know about 206 links to Jupyter, we've tracked only 7 mentions of Leanbe.ai. 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.
A lot of times here in this subreddit we talked about Beupify and finally me, with the team worked on your feedback and we would have absolutely different and new website just in 2 weeks. I am here to ask you again for feedback as there is left not that much time so we can implement other suggestions as well. For the ones who are not familiar with the tool, I would love to mention that it was only a tool to... Source: about 3 years ago
If it's not against the tools of the subreddit - you can check the website and give me some advice if possible. Source: about 3 years ago
Guys, you were writing me about the startup - here is it https://beupify.com/. Source: about 3 years ago
You can check out the tool, and ping me if you have any questions! Source: about 3 years ago
Here are some tips that helped us to scale our business. P.S The tool is Beupify which is an all-in-one solution for the release notes :). Source: over 3 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 2 months ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 4 months ago
productboard - Beautiful and powerful product management.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Roadmap - Collision avoidance for projects and people
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
