diff --git a/README.md b/README.md index ae0eef3..6854e01 100644 --- a/README.md +++ b/README.md @@ -604,7 +604,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by * [inbox](https://github.com/nylas/sync-engine) - The open source email toolkit. * [lamson](https://github.com/zedshaw/lamson) - Pythonic SMTP Application Server. * [mailjet](https://github.com/WoLpH/mailjet) - Mailjet API implementation for batch mailing, statistics and more. -* [marrow.mailer](https://github.com/marrow/marrow.mailer) - High-performance extensible mail delivery framework. +* [marrow.mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework. * [modoboa](https://github.com/tonioo/modoboa) - A mail hosting and management platform including a modern and simplified Web UI. * [pyzmail](http://www.magiksys.net/pyzmail/) - Compose, send and parse emails. * [Talon](https://github.com/mailgun/talon) - Mailgun library to extract message quotations and signatures. @@ -931,7 +931,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by * [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy. * [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python. * [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data. -* [Open Mining](https://github.com/avelino/mining) - Business Intelligence (BI) in Python (Pandas web interface) +* [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Python (Pandas web interface) * [orange](http://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or Python scripting. * [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools. * [PyDy](http://www.pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.