python-lambda VS Previous Serverless Version 0.5.x

Compare python-lambda vs Previous Serverless Version 0.5.x and see what are their differences.

python-lambda

A toolkit for developing and deploying serverless Python code in AWS Lambda. (by nficano)

Previous Serverless Version 0.5.x

⚡ Serverless Framework – Use AWS Lambda and other managed cloud services to build apps that auto-scale, cost nothing when idle, and boast radically low maintenance. (by serverless)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
python-lambda Previous Serverless Version 0.5.x
0 90
1,473 45,956
- 0.4%
0.0 8.4
9 months ago 7 days ago
Python JavaScript
ISC License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

python-lambda

Posts with mentions or reviews of python-lambda. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning python-lambda yet.
Tracking mentions began in Dec 2020.

Previous Serverless Version 0.5.x

Posts with mentions or reviews of Previous Serverless Version 0.5.x. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-20.
  • The Top 10 GitHub Repositories Making Waves 🌊📊
    22 projects | dev.to | 20 Dec 2023
    Github | Website
    22 projects | dev.to | 20 Dec 2023
  • [p] I built an open source platform to deploy computationally intensive Python functions as serverless jobs, with no timeouts
    2 projects | /r/MachineLearning | 2 Feb 2023
    - With Lambda, you manage creating and building the container yourself, as well as updating the Lambda function code. There are tools out there such as sst or serverless.com which help streamline this.
  • AWS Lambda, a good host for a rest API?
    2 projects | /r/aws | 27 Jan 2023
    If you'd like to use Lambda, usually you need to engineer FOR it, from day one, you don't (often) get to choose some other framework and shoehorn it into Lambda and Serverless. There's some great frameworks to help deploy code into Lambda easily and create REST endpoints for things, one such frameworks is serverless.com that helps easily deploy to it, but it lacks a framework for doing REST that also supports local emulation (as easily). For that, I recommend a framework by AWS called Chalice. This is an amazing REST framework that runs a proxy that works locally and deploys exactly the same on Lambda, it is Python however.
  • First time building microservice-based application
    3 projects | /r/node | 8 Jan 2023
  • Key learnings after 10h diving into Lambda, js and Github Actions
    3 projects | dev.to | 6 Jan 2023
    After knocking out a README with a set of goals and a list of TODOs to check off as I made progress, I spent about 10 hours over a weekend trying to get something to work. I used serverless for making Lambda easier, Github Actions for the deploy pipeline and store my credentials; and sadly I rolled my own access_token refresh logic because I couldn't find a helper that just did that for me! wtf!?
  • What tech-stack to use for a solo dev that can prioritize product iteration and scale?
    3 projects | /r/aws | 3 Jan 2023
    The backend is built with serverless.com (lambda, dynamodb, sqs, appsync). The good thing is that all the backend is stored in a file and you can deploy multiple stacks on the same account using seed.run . You don't really need EC2/Fargate when you have lambdas and you know that most of the time will be idle time. The same with cache I wouldn't think of it right now until you see the workload you are facing. Dynamodb once you understand it and have a proper design it's the fastest thing you can have. On my appsync calls I'm using Dynamodb as a cache because it's cheaper...
  • Creating and managing an AWS MSK Cluster and Configuration
    5 projects | dev.to | 23 Dec 2022
    Apache Kafka allows for asynchronous communication in a distributed ecosystem. It allows producers to publish messages on topics that are then ingested by consumers interested in those topics. As a concept, pub-sub models have been around for ages. However, the beauty of Kafka is in the how — using partitions and consumer groups, Kafka can scale the rate of consumption of messages with minimal dev and economic overhead. In this tutorial, I’ll take you through how to provision a managed Kafka cluster using the AWS Managed Stream for Kafka (MSK) service. We’ll use the serverless framework to create and maintain the infrastructure for MSK and the supporting VPCs, subnets, etc.
  • Do some developers actually, REALLY, have no local environment and run everything in AWS? Is the individual cloud dev environment a real alternative to having things running locally?
    3 projects | /r/aws | 20 Oct 2022
    I run my personal project on AWS. I has been running for 4+ years now and I never had a local environment. I took the serverless route. That is appsync, lambda, dynamodb, sqs to build the stack. I'm using serverless.com to have all the resources defined in a yaml files which will deploy multiple stacks. I'm using seed.run to manage that part because it's much more simple than to do it manually.
  • Use IAM Identity Center (AWS SSO) to protect your Cloudfront served application
    4 projects | dev.to | 4 Oct 2022
    The solution is deployed using serverless.com

What are some alternatives?

When comparing python-lambda and Previous Serverless Version 0.5.x you can also consider the following projects:

Zappa - Serverless Python

apex

drover - Drover is a command-line utility for deploying Python packages to Lambda functions.

formidable - The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production.

atlantis - Terraform Pull Request Automation

arc.codes - The Architect web site! 🌩

webiny-js - Open-source serverless enterprise CMS. Includes a headless CMS, page builder, form builder, and file manager. Easy to customize and expand. Deploys to AWS.

aws-lambda-java-libs - Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.

nvm - Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions