Benthos VS Jupyter

Benthos Reviews

Jupyter Reviews

Benthos mentions (22)

• Ask HN: Anyone looking for contributors for their open source projects

  If you're interested in Golang and data streaming, https://benthos.dev is a good project to contribute to. There are quite a few issues open on the GitHub project which anyone can pick up. Writing new connectors and adding tests / docs is always a good place to start. The maintainer is super-friendly and he's always active on the https://benthos.dev/community channels. I'm also there most of the time, since I've... - Source: Hacker News / about 2 months ago

• Seeking Insights on Stream Processing Frameworks: Experiences, Features, and Onboarding

  I have been working in the stream processing space since 2020 and I used Benthos. Since Benthos is a stateless stream processor, I have other components around it which deal with various types of application state, such as Kafka, NATS, Redis, various flavours of SQL databases, MongoDB etc. Source: about 1 year ago

• Realistic Stack for One Person to implement/ maintain in an SMB?

  You might want to add Benthos to your stack. It’s Open Source and it works great for data streaming tasks. You could have your task orchestrator (Airflow, Flyte etc) run it on demand. I demoed it at KnativeCon last year. Source: about 1 year ago

• What made you fall in love with Go?

  A few years ago, I found Benthos (the Open Source data streaming processor) and it was really easy to dive into it and add new features. Going through the various 3rd party libraries that it includes is usually straightforward and I'm comfortable enough with the language and various design patterns now to quickly get what's going on. That was rarely the case with C++. Source: about 1 year ago

• Minimal OAuth provider in Benthos and Bloblang

  This is a miniature OAuth provider implemented in Benthos and Bloblang. It is designed to serve a single OAuth client app and will generate JWT access tokens with limited lifetime. Source: about 1 year ago

Jupyter mentions (205)

• scrape-yahoo-finance

  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 / 11 days ago

• Let’s build AI-tools with the help of AI and Typescript!

  Jupyter Lab web-based interactive development environment. - Source: dev.to / 22 days ago

• Scrape Redfin Property Data

  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 / 17 days ago

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  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

• Using IPython Jupyter Magic commands to improve the notebook experience

  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