The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Mack Alternatives
Similar projects and alternatives to mack based on common topics and language
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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os-lib
OS-Lib is a simple, flexible, high-performance Scala interface to common OS filesystem and subprocess APIs
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petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
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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.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better mack alternative or higher similarity.
mack reviews and mentions
Posts with mentions or reviews of mack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-05.
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Implementing and using SCD Type 2
There still library form databricks? But I have never used it: https://github.com/MrPowers/mack
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Spark/databricks seems amazing?
I was a Databricks user for 5 years and spent almost all my time inside the IntelliJ IDE developing code. I wrote almost all code in a text editor, unit tested all code (actually authored the popular Scala Spark / PySpark testing libraries: https://github.com/MrPowers/) and had everything up with CI/CD. Lots of OSS PySpark/Scala Spark work too. I only used Databricks notebooks for data exploration and for lightweight notebooks that would invoke functions (that were defined in Python Wheel / JAR files). I am on the Delta Lake team at Databricks now and still do all my work in text editors (see this project: https://github.com/MrPowers/mack) and create lots of examples in Jupyter Notebooks. So I definitely think it's possible to limit notebook exposure.
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PySpark OSS Contribution Opportunity
Great, would love your help. You can also check out the mack project if you'd like to work on a Delta Lake + PySpark project: https://github.com/MrPowers/mack/issues
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Spark open source community is awesome
a couple devs just added a `find_compositite_keys_candidates` function so users can easily identify columns that could be used as a unique identifier in their Delta table.
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How to append data to Delta tables without adding any duplicates
Fair points. Here's the code repo: https://github.com/MrPowers/mack
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Stats
Basic mack repo stats
5
269
5.9
3 months ago
MrPowers/mack is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mack is Python.
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