YepCode
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YepCode is an all-in-one platform that helps development teams to build, run & monitor complex automation and data integrations skipping all the repetitive tasks that slow them down (custom authentication, deployments, logging… )
Connect your services and APIs just by writing JavaScript or Python code in a web browser and run them directly in our cloud. No servers provisioning, deployments or dependencies management, as YepCode comes out of the box with a complete set of services and SaaS to be integrated with.
The most agile & flexible tool to create custom integrations that perfectly suits your needs, making your organization more efficient.
YepCode JupyterYepCode's answer
YepCode's answer
It is a super-complete tool. Not only has a friendly source code editor (works with JavaScript or Python), but also provides the execution environment. It includes important extra features to make your coding experience unique:
YepCode's answer
YepCode was born in the heart of the software development agency Trileuco Solutions, founded in 2010 in La Coruña, when three friends decided to give free rein to their entrepreneurial concerns, and since then they have accumulated almost 14 years of experience working with business clients. As developers, we focused on finding solutions to the challenges we faced in our daily work. We thought there should be a better way to build backend processes, automation tasks and workflows, without losing efficiency. That is the main purpose behind YepCode, which, back in 2021, started to take its first steps.
YepCode's answer
YepCode's answer
YepCode brings together the best of no-code tools (agility, speed, serverless, no setup, no deployments) and serverless functions environments (running code without provisioning or managing infrastructure) with a developer-first approach. Plus providing an integrated development and execution experience.
YepCode's answer
Developers are a very limited and valuable resource for companies and they spend too much time building integrations with multiple services to move company's data. YepCode is the perfect swiss-army knife for development teams that want to go faster when need to solve information movements both in their every day tasks and also as an embedded solution in their products.
Based on our record, Jupyter seems to be a lot more popular than YepCode. While we know about 216 links to Jupyter, we've tracked only 2 mentions of YepCode. 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.
* Quick Prototyping – Test snippets and algorithms on the fly. Just write or paste your code, and we’ll handle all the setup for you! Why is this interesting? Running arbitrary code in production environments presents significant challenges around security, scalability, and infrastructure management. This is especially critical when dealing with AI-generated code from LLMs. We provide enterprise-grade sandboxing... - Source: Hacker News / 2 months ago
YepCode - All-in-one platform to connect APIs and services in a serverless environment. It brings all the agility and benefits of NoCode tools, but with all the power of use programming languages. Free tier includes 1.000 yeps. - Source: dev.to / over 2 years 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 1 month 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
vscode.dev - Now when you go to https://vscode.dev, you'll be presented with a lightweight version of VS Code running fully in the browser.
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.
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
GraphQL Playground - GraphQL IDE for better development workflows
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
