Countly is a product analytics solution and innovation enabler that helps organizations track product performance and user journey and behavior across mobile, web, and desktop applications. Ensuring privacy by design, it allows organizations to innovate and enhance their products to provide personalized and customized customer experiences, and meet key business and revenue goals.
Track, measure, and take action - all without leaving Countly.
Based on our record, Jupyter seems to be a lot more popular than Countly. While we know about 205 links to Jupyter, we've tracked only 6 mentions of Countly. 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.
Hello HN, founder of Countly (https://count.ly) here. As you might know, we are the creators of one of the first open-source product analytics platforms that has 10+ SDKs for mobile, desktop and web applications. We've been working on a new SaaS, myCountly, to help you launch your own Countly servers in any location, so your user data stays close to home. We are going to do an alpha launch soon, and looking for... - Source: Hacker News / over 1 year ago
Is countly still operational? Can't connect to their website https://count.ly/. Source: over 1 year ago
Always surprised more people don’t use countly. Runs nice in docker or digital ocean. https://count.ly. Been self hosting it for years with few issues. - Source: Hacker News / over 2 years ago
Countly (website, GitHub) is also an open-source product analytics platform that is designed primarily for marketing organizations. It helps marketers track website information (website transactions, campaigns, and sources that led visitors to the website, etc.). Countly also collects real-time mobile analytics metrics like active users, time spent in-app, customer location, etc., in a unified view on your dashboard. - Source: dev.to / over 2 years ago
Self-hosted alternatives to Google Analytics include: Matomo, open core with a broad feature set: https://matomo.org Countly, open core with desktop and mobile tracking: https://count.ly/ Plausible, open source with a simple feature set: https://plausible.io. - Source: Hacker News / almost 3 years 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 / 10 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 21 days 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 / 16 days 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 / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
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