GitLab
GitHub
BitBucket
Gitea
Jira
CircleCI
SourceForge
Jenkins
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
GitLab JupyterBased on our record, Jupyter should be more popular than GitLab. It has been mentiond 216 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.
Indian developers have embraced platforms like GitHub and GitLab, which serve as global meeting points for coding projects. Developer communities such as FOSSAsia and Open Source India regularly organize hackathons, webinars, and code sprints that bring together enthusiasts to tackle both local and global problems. - Source: dev.to / 14 days ago
In this article, we explore funding methods that empower projects such as Red Hat, GitLab, and Blender. Our discussion focuses on overlaying robust financial models with community-led efforts while incorporating advanced technologies like blockchain and smart contracts for secure, transparent fund distribution. With clear definitions, tables, bullet lists, and real-world examples, we aim to provide a holistic view... - Source: dev.to / about 1 month ago
💡** My Take:** If you’re not ready to spend hours debugging AWS configurations, you might want to consider other cloud options, such as DigitalOcean or Gitlab for CI/CD. - Source: dev.to / about 2 months ago
The foundation of OSS is its community. OSDSNs offer platforms like GitHub and GitLab that encourage communication and collaboration, creating a sense of belonging among developers. These platforms are essential for managing projects and enhancing motivation within the community. - Source: dev.to / 3 months ago
The open core model involves offering a core open-source product while providing premium features as part of a separate, paid product. This model encourages community involvement by allowing free access to the foundational version. Meanwhile, it supports sustainability by charging for advanced features tailored to specific market needs. GitLab exemplifies this model, offering a free version alongside premium... - Source: dev.to / 3 months ago
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Gitea - A painless self-hosted Git service
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
