Kaggle
Colaboratory
Driven Data
Numerai
HackerRank
DataSource.ai
Infosec Skills
DataHack & DSAT
Underleaf
Overleaf
Authorea
Bibby AI
OpenAI Prism
Fidus Writer
Octree
LetX.app
Underleaf is an AI-powered workspace built for researchers, students, and technical writers who work in LaTeX. It helps you move faster from idea to polished document by turning messy inputs into clean, structured LaTeX - without breaking your workflow.
With Underleaf, you can:
UnderleafUnderleaf's answer:
Underleaf is built specifically for people who write in LaTeX. Unlike generic AI writing tools, it understands mathematical structure, equations, and academic formatting. It can convert PDFs and handwritten notes directly into clean LaTeX, generate TikZ diagrams, and help refine technical writing - all while preserving document structure. It’s designed to feel like a natural extension of your LaTeX workflow, not a replacement for it.
Underleaf's answer:
Most tools treat LaTeX as plain text. Underleaf treats it as a first-class language. It’s purpose-built for researchers, students, and technical professionals who care about correctness, structure, and reproducibility. With deep support for equations, diagrams, and academic formatting - plus seamless Overleaf integration - Underleaf saves hours without compromising precision or control.
Underleaf's answer:
Underleaf is built for professors, researchers, graduate students, and technical professionals who regularly write in LaTeX. This includes people in mathematics, physics, engineering, computer science, and related fields who want to move faster without sacrificing rigor or formatting quality.
Underleaf's answer:
Underleaf was created out of firsthand frustration with how slow and manual academic writing can be. After years of writing papers, notes, and technical documents in LaTeX, the goal became clear: remove the friction without breaking the workflow researchers rely on. Underleaf started as a personal productivity tool and grew into a platform that helps thousands of academics write faster, cleaner, and with more focus on ideas instead of syntax.
Based on our record, Kaggle seems to be more popular. 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
Colaboratory - Free Jupyter notebook environment in the cloud.
Overleaf - The online platform for scientific writing. Overleaf is free: start writing now with one click. No sign-up required. Great on your iPad.
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.
Authorea - Collaborative platform for research. To write and manage technical documents in one place.
Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet
Bibby AI - The AI LaTeX editor for researchers. Smart citations, AI writing assistant, table generation, paper review, and real-time collaboration.
