DevSpace (for Kubernetes and Docker)
Okteto
Telepresence
Garden.io
mirrord
Kubernetes
DockStation
Portainer
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
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Based on our record, Jupyter seems to be a lot more popular than DevSpace (for Kubernetes and Docker). While we know about 206 links to Jupyter, we've tracked only 3 mentions of DevSpace (for Kubernetes and Docker). 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.
DevSpace is very similar to Skaffold in terms of features, with the added benefits of a dedicated UI and a two-way file sync. The UI gives your team an overview of the stack and easy access to logs. At the same time, the file synchronization feature makes their development process faster by letting them directly change code from a running container. - Source: dev.to / about 2 years ago
DevSpace is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. It is a client-only CLI tool that runs on your machine and works with any Kubernetes cluster. You can use it to automate image building and deployments, to develop software directly inside Kubernetes and to streamline workflows across your team as well as across dev, staging and production. - Source: dev.to / about 2 years ago
And speaking of cycle times, the Loft team has also built DevSpace, a developer workflow tool for engineers working with Kubernetes clusters. Have you ever waited around for a new container to build so you can see if your changes work? Or even worse, for a CI pipeline to run integration tests? With DevSpace you can hot reload your app in the running container as you make changes. It's super cool and it's open... - Source: dev.to / about 3 years ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month 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 / 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 3 months 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 / 2 months 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 / 4 months ago
Okteto - Development platform for Kubernetes applications.
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.
Telepresence - Telepresence is an open source tool that lets you develop and debug your Kubernetes services...
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Garden.io - Cloud native & Kubernetes testing done right
Google BigQuery - A fully managed data warehouse for large-scale data analytics.