maxispeicher

maxispeicher's Stars

• oliverlambson/fastnanoid

  A tiny, secure, URL-friendly, unique string ID generator for Python, written in Rust

  Language:Python171

• awslabs/mountpoint-s3

  A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.

  Language:Rust4.4k149

• jdx/mise

  dev tools, env vars, task runner

  Language:Rust9.1k245

• jirutka/rsql-parser

  Parser for RSQL / FIQL – query language for RESTful APIs

  Language:Java727155

• Biomapas/B.AwsCdkParallel

  Enables parallel stack deployments for AWS CDK tool.

  Language:Python152

• sripathikrishnan/jinjasql

  Template Language for SQL with Automatic Bind Parameter Extraction

  Language:Python81189

• souvik-databricks/dlt-with-debug

  A lightweight helper utility which allows developers to do interactive pipeline development by having a unified source code for both DLT run and Non-DLT interactive notebook run.

  Language:Python457

• awslabs/aws-embedded-metrics-python

  Amazon CloudWatch Embedded Metric Format Client Library

  Language:Python20234

• pydantic/FastUI

  Build better UIs faster.

  Language:Python8.1k307

• authlib/example-oauth2-server

  Example for OAuth 2 Server for Authlib.

  Language:Python682283

• zhanymkanov/fastapi-best-practices

  FastAPI Best Practices and Conventions we used at our startup

  8.5k656

• databrickslabs/tempo

  API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

  Language:Jupyter Notebook30650

• YourAverageTechBro/DevToolboxWeb

  Language:TypeScript58273

• geekan/MetaGPT

  🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

  Language:Python43.6k5.2k

• rcoh/angle-grinder

  Slice and dice logs on the command line

  Language:Rust3.5k72

• astral-sh/ruff

  An extremely fast Python linter and code formatter, written in Rust.

  Language:Rust30.9k1k

• aws/aws-cdk

  The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code

  Language:TypeScript11.5k3.8k

• jpochyla/psst

  Fast and multi-platform Spotify client with native GUI

  Language:Rust8.4k215

• unionai-oss/pandera

  A light-weight, flexible, and expressive statistical data testing library

  Language:Python3.3k303

• jowilf/starlette-admin

  Fast, beautiful and extensible administrative interface framework for Starlette & FastApi applications

  Language:Python56759

• pimlie/ubuntu-mainline-kernel.sh

  Bash script for Ubuntu (and derivatives) to easily (un)install kernels from the Ubuntu Kernel PPA

  Language:Shell846101

• aws-samples/amazon-kinesis-low-level-producer-sample

  Language:Java41

• awslabs/amazon-kinesis-scaling-utils

  The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.

  Language:Java33895

• data-dot-all/dataall

  A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.

  Language:Python22882

• awslabs/aws-ddk

  An open source development framework to help you build data workflows and modern data architecture on AWS.

  Language:TypeScript25220

• awslabs/python-deequ

  Python API for Deequ

  Language:Jupyter Notebook702132

• zoph-io/awscon-onepager

  📝 AWS Conferences One-Pagers [DEPRECATED]

  18418

• aws/sagemaker-tensorflow-training-toolkit

  Toolkit for running TensorFlow training scripts on SageMaker. Dockerfiles used for building SageMaker TensorFlow Containers are at https://github.com/aws/deep-learning-containers.

  Language:Python270164

• aws/deep-learning-containers

  AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

  Language:Python994454

• mpkocher/pydantic-cli

  Turn Pydantic defined Data Models into CLI Tools

  Language:Python13911