redframes
flyctl
redframes | flyctl | |
---|---|---|
10 | 545 | |
295 | 1,307 | |
- | 0.9% | |
1.4 | 9.9 | |
about 1 year ago | 5 days ago | |
Python | Go | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
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.
redframes
- What is something you wish there was a Python module for?
- Redframes: General Purpose Data Manipulation Library
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Modern Polars: an extensive side-by-side comparison of Polars and Pandas
I'm not GP, but I find the pandas API incredibly inconsistent and difficult to remember how to do simple transformations. For example, it sometimes overloads operators because it doesn't use built in language features like lambdas. There are reasons for the inconsistency, but using the alternatives like R's tidyverse or Julia's DataFramess.jl is like night and day for me.
I found RedFrames [1] recently which wraps Pandas dataframes with a more consistent interface, it's probably what I'd use if I had to write data transformations that had to be compatible with Pandas.
[1] https://github.com/maxhumber/redframes
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Ask HN: How you maintain your daily log?
[2022-10-23 14:11:15]: Question []: should we use Red Frames (https://github.com/maxhumber/redframes) in addition to Pandas? Criteria for decision? @me #projectLion
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Python 3.11.0 final is now available
If you like writing chain-able pandas, you should check out: https://github.com/maxhumber/redframes
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Add your own custom methods to third-party types with this pattern
I intend to use this pattern in my redframes library to hijack some pd.DataFrame methods.
- GitHub - maxhumber/redframes: [re]ctangular[d]ata[frames]
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Ask HN: What are you doing this weekend?
I'm dog-fooding my new Python data manipulation library, redframes: https://github.com/maxhumber/redframes
To help me prep for my Fantasy Hockey Draft next week!
- redframes, a new data manipulation library for ML and visualization
- Show HN: Redframes, a Python data manipulation library like dplyr
flyctl
-
How to deploy a nestjs back-end from a mono repo on fly.io
To begin visit fly.io to create an account. Next install flyctl a command line tool for creating and deploying fly apps. macOS
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Getting started with Open SaaS
For frontend deployment, I used Netlify (for the generous free package) and the recommended fly.io for server + database (also cheap package).
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Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
Create an account on Fly.io.
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How to use fly.io and Tigris to deploy a Next.js app
You can learn more about fly.io and tigris, we will need to create an account on both platforms for this project regardless. Anyway with the theory out of the way let's get started in the next section as we create our accounts and start building the app.
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Set up your own personal browser in the Cloud
Fly.io is a platform that helps you run your apps and databases closer to your users all around the world. It takes your app code, packages it up neatly, and puts it on virtual machines that can be quickly started or stopped. This makes your app faster for users and more reliable. Fly.io is easy to use, works well for small projects or personal apps. It's a great way to make sure your app runs smoothly for people no matter where they are.
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NoSQL Postgres: Add MongoDB compatibility to your Supabase projects with FerretDB
In this post, we'll start from scratch, running FerretDB locally via Docker, trying out the connection with mongosh and the MongoDB Node.js client, and finally deploy FerretDB to Fly.io for a production ready set up.
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Free tools for developers to build their apps
2- fly.io
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Top 5 Ways To Host Your Full-Stack App For Free 🚀✨
Fly is a cloud platform that focuses on global edge computing. Fly specializes in high-performance hosting and provides a global network of edge locations. Fly is known for its scalability and performance optimizations.
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Tech stack used for SaaS
But videototextai.com is built using NextJS + Firebase auth + Firestore and a backend deployed at fly.io . Fly makes it really easy to deploy docker containers and that is IMO the fastest way to develop, you can setup a local setup
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Is it still worth choosing Heroku in 2023?
Alternatives explored: * northflank: While running the wrk test, requests were taking 3-7 seconds. Couldn't repeat Heroku's phenomenon of "400ms-800ms" during such a load test. * fly.io: Reliability: It’s Not Great * render.com: I remember the time when indiehackers.com was down because of an outage on Render, not sure if it's worth trusting.
What are some alternatives?
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
vercel - Develop. Preview. Ship.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
supabase - The open source Firebase alternative.
Keras - Deep Learning for humans
s6-overlay - s6 overlay for containers (includes execline, s6-linux-utils & a custom init)
tensorflow - An Open Source Machine Learning Framework for Everyone
podman-compose - a script to run docker-compose.yml using podman
MLflow - Open source platform for the machine learning lifecycle
litestream - Streaming replication for SQLite.
pydeep - Deep learning in Python
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications