Reviewly helps you to manage the take-home projects that you send to your job candidates.
Put an end to receiving them as ZIP files or Gists via email.
Our job as developers is not just writing code. Create take-home projects where you can ask for coding and also discuss an issue and/or review a pull request directly on GitHub.
Prepare your main repository once, we'll take care of replicating everything in a new repository for each of your candidates. You can also integrate your existing tools with Reviewly through Zapier.
Each company has different hiring needs, and a Fibonacci exercise selected from a catalog isn't always the best option. Set your custom take-home project, and we'll replicate all its code, issues, and pull requests.
Bias exists, even if it’s unconscious. That's why we hide the candidate’s name from your reviewers until they've reviewed them.
No Reviewly videos yet. You could help us improve this page by suggesting one.
Based on our record, Deepnote seems to be more popular. It has been mentiond 34 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.
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / 11 months ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / 11 months ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 1 year ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / almost 2 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 2 years ago
coderpad - Collaborative code editor with in-browser, real-time execution. Conduct programming phone screens like a boss.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.