pytest VS Elasticsearch

Compare pytest vs Elasticsearch and see what are their differences.

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing (by pytest-dev)

Elasticsearch

Free and Open, Distributed, RESTful Search Engine (by elastic)
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pytest Elasticsearch
30 91
11,239 67,143
1.9% 0.9%
9.9 10.0
6 days ago 5 days ago
Python Java
MIT License GNU General Public License v3.0 or later
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.

pytest

Posts with mentions or reviews of pytest. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-31.

Elasticsearch

Posts with mentions or reviews of Elasticsearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-18.

What are some alternatives?

When comparing pytest and Elasticsearch you can also consider the following projects:

nose2 - The successor to nose, based on unittest2

OpenSearch - 🔎 Open source distributed and RESTful search engine.

Robot Framework - Generic automation framework for acceptance testing and RPA

Behave - BDD, Python style.

Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]

bleve - A modern text/numeric/geo-spatial/vector indexing library for go

pgvector - Open-source vector similarity search for Postgres

Slash - The Slash testing infrastructure

Whoosh

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

hypothesis - Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

nose - nose is nicer testing for python