Based on our record, Jupyter should be more popular than Logz.io. It has been mentiond 204 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.
Logz.io — Free up to 1 GB/day, one day retention. - Source: dev.to / 3 months ago
Logz.io is like a cloud-based control center for your applications, systems, and infrastructure. It keenly observes their performance and health and provides you with any required insights that will help with the smooth running of your digital platform. With its log management, metrics analysis, and distributed tracing capabilities, Logz.io is one of the best performance monitoring tools to ensure your tech stack... - Source: dev.to / 4 months ago
You better use a logs tool like logz.io or something, Don't re-invent the wheel. Source: 12 months ago
However, if you don't have the resources to manage something, solutions like the one above can get VERY expensive and even managed purpose built solutions like https://logz.io/ can get pricy. I think logz.io is the closest you will get to a no frills log storage platform. Source: about 1 year ago
Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management. - Source: dev.to / about 1 year ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 11 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 / 6 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 / about 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 / about 2 months ago
They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 2 months ago
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