Blog
DeepDiff 9.0.0 Is Released
DeepDiff 9.0.0 is a major release that improves correctness and consistency, updates Python support, adds useful new features, and marks both a new milestone in adoption and a new chapter under the Qluster brand.
March 29, 2026
How to persist pod logs on Minikube
How to persist pod logs in Minikube so they survive pods getting killed and even Minikube restarts.
September 17, 2024
Upgrading to Pydantic 2: More quirky than you would expect.
Upgrading to Pydantic 2 was more painful than expected. Better do it now than later!
November 27, 2023
Introducing Qluster - ETL As Spreadsheet
What if you could make data pipelines that automatically quarantine and fix bad data without a single line of code?
October 17, 2023
DeepDiff Tutorial: Deep Commandline
DeepDiff introduces commandline feature in the 5.2.1 release: deep diff. deep grep deep extract deep patch. Let’s dig in!
January 1, 2021
A How To Guide: Remotely Accessing Minikube Kubernetes on KVM
Run and remotely access a Minikube Kubernetes cluster using the KVM on your computer
September 25, 2020
DeepDiff: 1.7 Million Downloads A Month
It is June 2020 and I have some exciting news to share.
June 25, 2020
DeepDiff 5 Is Here!
Delta, Deep Distance, Numpy Support, granular results when ignoring the order and many optimizations are introduced! The Delta objects are like git commits but for structured data. Deep Distance is the distance between 2 objects. It is inspired by Levenshtein Distance
June 22, 2020
Faster, cheaper, and better: A story of breaking a monolith
On May 21st 2019, we broke search service out of vehicle-service. It was faster, cheaper, and better!
July 17, 2019
DeepDiff Tutorial: Comparing Numbers
One of the features of DeepDiff that comes very handy is comparing nested data structures that include numbers. There are times that we do care about the exact numbers and want it to be reported if anything slightly changed. We explore different parameters that help when diffing numbers.
April 12, 2019
You AutoComplete Me
Autocomplete in Python. Get familiar with various data structures in Python, from the built-in deque to creating Trie-tree and Directed Acyclic Word Graph (DAWG) and even fuzzy matching via phonetic algorithms and Levenshtein edit distance.
February 28, 2019
Magic Method, on the wall, who, now, is the __fairest__ one of all?
Magic methods are a very powerful feature of Python and can open a whole new door for you. However, with great power comes great responsibility.
May 19, 2017
Harness the power of Python magic methods and lazy objects.
Dimistify lazy objects in Python, mainly focusing on lazy loading aspect but not lazy writing. However in order to do lazy loading, we need to have a good understanding of some of the Python’s magic methods.
September 10, 2016
RedisWorks, the Pythonic Redis Client.
Introducing RedisWorks. How to get more from Redis with less coding.
August 10, 2016
Amazon S3 made simple for Python apps.
From time to time I need to do some simple file/folder transfer/query from a Python app to a S3 bucket. There is a great Python library called Boto that offers a comprehensive low level interface to AWS. I consider it too low level for simple operations on S3. On the other hand there is a fantastic command line library called s3cmd written in Python but it is designed to be used from command line and not from Python apps. Every other Python library I found to be dealing with S3 buckets, seemed unmaintained.
April 10, 2016
Diff It To Digg It
Anybody who has used git diff will know that your life is not the same once you start diffing. When you get to the habit, there is no going back. Now let’s look at diff for structured data!
April 7, 2016
Celery: Get Your Task Together
An [outdated] comparison between different Distributed Task Queues
March 7, 2016