semvec/pypi-packages huggingface dataset:
mrsdb2 2.3.1
The quick, rich, serverless, and efficient json-like Python 3 document database.
Requires Python: >=3.6

# MRSDB
![Upload Python Package](https://github.com/Netriza/mrsdb/workflows/Upload%20Python%20Package/badge.svg) ![Run on Repl.it](https://repl.it/badge/github/Netriza/mrsdb)

The quick, rich, serverless, and efficient json-like Python 3 document database.

[Check out our Wiki for documentation/tutorials](https://github.com/netriza/mrsdb/wiki)

```bash
pip -m install mrsdb2
```
zama-sdk 0.0.1
Zama SDK
Requires Python: >=3.6

# Zama SDK

Our mission at [Zama](https://zama.ai) is to protect people’s privacy by preventing data breaches and unethical surveillance.

Following a recent breakthrough in homomorphic encryption, we are now building a ZeroTrust deep learning framework that enables fast and accurate inference over encrypted data, with minimal performance overhead, no changes to the network architecture and no retraining necessary.

[Zama](https://zama.ai) is open-source by design, as we believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

# Warning

This package is not a working package. Zama SDK will be available a bit later.

# Installation

```
python3 -m pip install zama_sdk --upgrade
```

# Test

```python

import zama_sdk
zama_sdk.hello_world()
```
chemical-kinetics 1.0.5
Module to fit data with a chemical kinetics model.
Requires Python: >=3.6

A python module to load, fit and plot chemical kinetics data. In particular, it can be used to extract reaction time constants from experimental data. This data should at least describe the evolution of some of the species concentration over time. Optionally, if an electrochemical measurement was performed, the fit can also include the charge passed over time in order to improve the fit of the model parameters.

Documentation can be consulted [here](https://chemical-kinetics.readthedocs.io/en/latest/index.html).