AIcademy (formerly Open DeepLearning) vs DATAKU

AIcademy is a free, community-run platform for learning AI and data science online. It publishes structured courses and documentation aimed at learners who want practical skills rather than passive reading. The site currently centers on a Python for Data Science track that walks from language basics through the libraries most data teams use daily.

Courses are built around hands-on problem solving. Each module introduces concepts and follows up with exercises so you apply what you just read. The Python track covers NumPy, Pandas, Matplotlib, and an optional Scikit-learn section for machine learning workflows.

Content is open source and editable on GitHub, so contributors can fix errors or expand lessons. Learners who get stuck can ask questions on the project Discord server linked from the course pages.

The project grew out of the Open DeepLearning and OpenML Guide resource libraries. After the original openmlguide.org domain expired, the team relaunched the effort under the AIcademy name at aicademyorg.netlify.app.

DATAKU is a data science site that tracks AI benchmarks, API pricing, and model releases, then packages the numbers into free calculators and downloadable datasets. The homepage archives articles on inference costs, funding rounds, and head-to-head model comparisons, while the Tools section hosts eight utilities such as an LLM cost calculator, benchmark decoder, and model graveyard.

Most AI news sites summarize press releases. DATAKU cross-references provider docs, leaderboard scores, and its own pricing tables, which is why the downloadable datasets page lists 48-row pricing histories and 62-row benchmark score tables under CC BY 4.0 licenses.

Data analysts, ML engineers, and buyers use DATAKU when they need cost-per-token math, benchmark context, or CSV exports instead of marketing claims. The About page describes the project as benchmark and pricing tracking run by a former Tokyo data analyst.