Kaggle
Colaboratory
Driven Data
Numerai
HackerRank
DataSource.ai
Infosec Skills
DataHack & DSAT
Composio.dev
Pipedream
Zapier
Nango
n8n.io
Make.com
Prefactor.tech
Autocode
Composio features built-in authentication management and support for actions and triggers, enabling users to integrate external tools swiftly, helping them go live within hours.
Composio enhances AI agents' capabilities, enabling them to execute code, interact with local systems, and integrate with over 200 external tools, thus simplifying complex integration tasks and letting users focus on their primary objectives.
It also supports custom tool development, allowing developers to build tailored solutions.
Composio.devComposio.dev's answer:
First of its kind toolset for AI Agents' integrations. Composio helps developers by reducing integrations' shipping time from days to hours. Moreover, it provides the developers with an in-built Auth management. The unlimited users pricing helps organizations with a flat & fixed cost.
Composio.dev's answer:
Developers or organizations working with AI apps & agents.
Composio.dev's answer:
We saw a gap in the AI industry when it came to integrations and the sheer amount of time it took to ship just one integration. Moreover, it was a pain to manage Auth properly.
Based on our record, Kaggle should be more popular than Composio.dev. It has been mentiond 103 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.
A good example: the results we published are one-shot success rates with no retries and no manual intervention. But we did re-run some failed tasks afterward. Take Task #197 on kaggle.com ("Identify the ongoing competition that offers the highest prize and find the code that received the most votes in that competition"). In our benchmark submission, it failed on an anti-bot block. On a subsequent run, TinyFish... - Source: dev.to / 4 months ago
The key to mastering data analysis is practice. Kaggle.com and World Bank provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. Trying small projects like: Analyzing Netflix ratings, Visualizing COVID-19 data and Cleaning messy sales data in Excel can help strengthen your skill. - Source: dev.to / about 1 year ago
Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / over 1 year ago
Kaggle: For data science and machine learning competitions. - Source: dev.to / about 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 3 years ago
Services such as Composio can provide access to multiple tools through one integration layer. - Source: dev.to / about 1 month ago
That's where Composio helps you. It can connect your slack bots to 1000+ apps that you can use. - Source: dev.to / about 2 months ago
Composio handles external triggers and tool integrations. It can wake the gateway when something happens in another app, and it makes it easy to add tool connections in Slack. - Source: dev.to / 3 months ago
That gap, between AI as a chat interface and AI as an execution layer, is exactly where tools like Composio sit. The platform connects an LLM directly to external services: GitHub, Gmail, Slack, Notion, and dozens of others. Instead of copying output from a chat window and pasting it somewhere else, the reasoning model takes the action itself. This article compares that approach against the manual alternative, not... - Source: dev.to / 4 months ago
This article breaks down what per-user OAuth means for AI agents, why shared credentials fall apart at scale, what the emerging standards look like, and the exact checklist to use when picking a platform to handle it. We will also show how Composio approaches each of these problems so you do not have to assemble the stack yourself. - Source: dev.to / 4 months ago
Colaboratory - Free Jupyter notebook environment in the cloud.
Pipedream - Integration platform for developers
Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet
Nango - The fastest way to ship integrations with 500+ APIs
