Introducing Flama for Robust Machine Learning APIs

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • flama

    Fire up your models with the flame 🔥

  • There has been a considerable effort in the last few years to try and standardise the way in which these type of APIs are implemented via different frameworks. However, over the last few years, a new type of functionality has become more and more popular: machine learning (ML) models; and the existing frameworks for building APIs are not well suited for this type of functionality. In this series of posts, we will learn how to build APIs using a Framework for the development of Lightweight Applications and Machine-learning Automation, also known as Flama.

  • pyenv

    Simple Python version management

  • When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • flama-demos

    Examples showcasing Flama 🔥

  • The goal of this post is not to build a very complex ML model by itself, but we want to go further than the prototypical Iris classification problem. For this reason, we are going to use a dataset which is a bit more complex, but still simple enough to be able to focus on the ML pipeline and the ML-API. The problem we are going to address has to do with the prediction of customer churn, i.e. the prediction of whether a customer will leave a company or not, which is a very common problem in the industry. The dataset we are going to use is a public dataset, which you can download from here. For the sake of brevity, we are not going to discuss here the details of the dataset, we will just assume that the data exploration has already been done.

  • SQLAlchemy

    The Database Toolkit for Python

  • Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.

  • httpx

    A next generation HTTP client for Python. 🦋

  • Besides, flama also provides support for SQL databases via SQLAlchemy, an SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. Finally, flama also provides support for HTTP clients to perform requests via httpx, a next generation HTTP client for Python.

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • PyTorch

  • Poetry

    Python packaging and dependency management made easy

  • We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
  • warehouse

    The Python Package Index

  • We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  • pandas: A library for data analysis in Python

  • NumPy

    The fundamental package for scientific computing with Python.

  • numpy: A library for scientific computing in Python

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • I'm sorry guys. I always just assumed you were all just impatient... Forgive me, I didn't know...

    3 projects | /r/ProgrammerHumor | 28 Sep 2022
  • Kalman filter in Rust runs 120+ times faster than NumPy, SciKit implementation

    4 projects | /r/rust | 25 Jul 2022
  • A smart way to print :)

    6 projects | /r/Python | 22 May 2022
  • Trading Algos - 5 Key Metrics and How to Implement Them in Python

    4 projects | dev.to | 8 Jan 2022
  • Just got this text from a friend

    3 projects | /r/ProgrammerHumor | 21 Oct 2021