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+# mamba, an experiment to make conda faster
+
+**Still in BETA! Don't use mamba to install something in valuable environments!** 
+
+Mamba is a reimplementation of the bits which are somewhat slow in conda. Mamba uses:
+
+- parallel downloading of JSON files using multiprocessing, and reusing conda's caches
+- simdjson, a hyper high performance library in C++ to parse the repodata.json (which is getting larger and larger, e.g. for conda-forge)
+- libsolv for speedy dependency solving, a state of the art library used in the package manager of Fedora and others
+
+At the same time, mamba re-uses a lot of conda's codebase to parse the command line and execute the transaction (installation & deinstallation of packages).
+
+### Installation
+
+Make sure to have the following requirements in your conda environment:
+
+- `conda install pybind11 libsolv conda cmake`
+
+
+After that, `cd include`, `mkdir build`, `cd build`, `cmake ..`, `make`, switch back to the mamba root folder with `cd ../../`.
+Now you are ready to install packages with `./bin/mamba install xtensor-r` for example.
+Channels, and strict priority are currently supported.
+
+We know how to implement feature support, but it's not done in this C++ port, yet.
+
+### Support us
+
+If you want to stay up to date with Mamba development, follow [@wuoulf](https://twitter.com/wuoulf) on Twitter.
+For questions, you can also join us on [QuantStack Chat](https://gitter.im/QuantStack/Lobby) or on the [conda channel](https://gitter.im/conda/conda) (note that this project is not officially affiliated with `conda` or Anaconda Inc.).
+