Based on our record, LaunchDarkly should be more popular than Voilà. It has been mentiond 36 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.
> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra. Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.... - Source: Hacker News / about 1 year ago
I don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. But that's just my opinion I guess. Source: about 1 year ago
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come... Source: about 1 year ago
Any insights what the differences between this and Voila are? Https://github.com/voila-dashboards/voila. Source: about 1 year ago
A nifty little alternative to voila, one might say. - Source: dev.to / over 1 year ago
Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a... - Source: dev.to / 4 months ago
I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com. Source: 5 months ago
There are however Saas to implement directly a feature management system. Several solutions exist like LaunchDarkly, Flagsmith or Unleash.io. Using a SaaS (Software as a Service) feature flagging solution offers the advantage of a faster and more straightforward implementation process. These services are readily available and can be quickly integrated into your project. - Source: dev.to / 8 months ago
Currently, there are numerous feature flag systems available. Options include our own company's open-source system, "Bucketeer", and the renowned SaaS "LaunchDarkly" among others. When comparing these, the following considerations might come into play:. - Source: dev.to / 8 months ago
A variety of tools can cover some of these use cases. PLG tools like Segment and journy.io can track activity. Maybe you use a feature flag service such as LaunchDarkly. Stripe or Chargebee might manage some of the billing-related aspects. Meanwhile, problems related to authentication might be visible in your Auth0 account. However, it’s unlikely that you’re using all these platforms. Even if you are, you probably... - Source: dev.to / 10 months ago
Streamlit - Turn python scripts into beautiful ML tools
Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.
Shiny - Shiny is an R package that makes it easy to build interactive web apps straight from R.
ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.
Streamsync - Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.
Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.