Based on our record, Jupyter seems to be a lot more popular than Rollbar. While we know about 205 links to Jupyter, we've tracked only 18 mentions of Rollbar. 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.
Rollbar | https://rollbar.com | Remote US, Remote Europe, Budapest | Engineering, Technical Solutions About Rollbar: * We're a ~30-person team (SF, Budapest, remote US and Europe) with a mission to help developers build software quickly and painlessly * We help tens of thousands of developers find and fix errors faster. * Our backend handles billions of errors with low latency and high reliability * Our front-end... - Source: Hacker News / 3 days ago
When any unexpected errors occur we need to send the details over to an error logging service, for e.g. Like Rollbar. - Source: dev.to / 12 days ago
Rollbar is a real-time error tracking and monitoring tool that empowers development teams to deliver top-notch software. Its primary mission is to identify, report, and aggregate errors, exceptions, and issues in your applications as they happen, allowing developers to address them promptly. Rollbar assists developers in maintaining the best quality of software throughout the development process by offering... - Source: dev.to / 4 months ago
Usually you would use a tool like Sentry or Rollbar to catch and report errors. Those tools improve developer experience, however we should also think about user experience — and there is a way to make it more pleasant. What if when your users experience an error, we display a typeform to collect additional feedback from the user? - Source: dev.to / 10 months ago
About Rollbar: * We're a ~45-person team (SF, Barcelona, Budapest, and remote US) with a mission to help developers build software quickly and painlessly * We help tens of thousands of developers find and fix errors faster. * Our backend handles billions of errors with low latency and high reliability * Our front-end allows developers to discover and drill down across millions of errors in real-time * Our... - Source: Hacker News / about 1 year 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 / 9 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 20 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 / 15 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
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
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.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.