Dev tools · alternatives · 2026
24 alternatives to Dask-expr – query optimization for faster Dask DataFrames
Contribute to dask/dask-expr development by creating an account on GitHub.
Dask-expr is a query optimization tool designed to speed up Dask DataFrames, which are used for processing large datasets in parallel. It works by optimizing how data queries are structured and executed, reducing… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Dask-expr – query optimization for faster Dask DataFrames launched in 2023; newer entries below may have overtaken it.
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`cronexpr` is a library to parse and drive the crontab expression.
2024 · docs.rs · its alternatives →
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Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
2024 · github.com · its alternatives →
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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
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Paritok▲258Spend up to 85% less and run 3× longer coding agent sessions
Aug 2026 · paritok.com · its alternatives →
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A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame
2019 · github.com · its alternatives →
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Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
2024 · github.com · its alternatives →
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QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL
2020 · try.questdb.io · its alternatives →
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hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…
2023 · hydra-so.notion.site · its alternatives →
- 10DJ
Hello HN, I’m Gaurav. Founder & CEO of Dassana. We are coming out of stealth today and would like to invite the community to give us a try. https://lake.dassana.io/ First, a bit of a backstory. I grew up with grep to search log files. The kind of person whose grep was aliased to grep -i. Then came along Splunk. It was a game-changer. For every single start-up I started (there are a few) I used Splunk and quite often we will run out of our ingestion quota. SumoLogic wasn’t cheaper either so we looked into DataDog. It was good until we started running issues with aggregate…
2022 · its alternatives →
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ExprTk compiled to WebAssembly lets you explore and evaluate math expressions instantly in your browser. Everything runs client-side at near-native speed.
2025 · partow.net · its alternatives →
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Provide an input CSV and a target field to predict, generate a model + code to run it. - minimaxir/automl-gs
2019 · github.com · its alternatives →
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A sharp cut(1) clone. Contribute to sstadick/hck development by creating an account on GitHub.
2021 · github.com · its alternatives →
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Marple▲86Hi HN! I’m Nero from Marple, and we build time series tooling for Aerospace & Automotive. In 2020, we launched our first product: a sort of Grafana on steroids designed for high performance analysis. After integrating with a lot of different TS databases, we kept running into their design limits when trying to deliver the best performance & UX to our users. That’s why we are launching Marple DB today (https://www.marpledata.com/marple-db). Marple DB transforms measurements files (CSV, MAT, HDF5, TDMS, …) into a queryable lakehouse. We designed for extreme ingestion…
2022 · marpledata.com · its alternatives →
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2018 · scss.tcd.ie · its alternatives →
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C++ Mathematical Expression Library (ExprTk)
Jan 2026 · partow.net · its alternatives →
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Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…
2024 · hashquery.dev · its alternatives →
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R package to model Mixed Integer Linear Programs. Contribute to dirkschumacher/ompr development by creating an account on GitHub.
2017 · github.com · its alternatives →
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I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…
2022 · benchmark.clickhouse.com · its alternatives →
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hi hn, hydra ceo here hydra is an open-source extension that adds columnar tables to Postgres for efficient analytical reporting. With Hydra, you can analyze billions of rows instantly without changing code. demo video (5 min): https://youtu.be/1yzxgb0Oyrw github repo: https://github.com/hydradatabase/hydra For 1.0 GA release, aggregate queries are over *60% faster* than Hydra beta due to aggregate vectorization. Spatial indexes (gin, gist, spgist, and rum indexes) and pg_hint_plan are now enabled for performance optimization. postgres is great, but…
2023 · hydra.so · its alternatives →
- 21DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
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Postgres-Backed Drop-in Temporal Replacement. Contribute to dbos-inc/dbosify-py development by creating an account on GitHub.
Jun 2026 · github.com · its alternatives →
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Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
2022 · its alternatives →
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Hi HN! We are Ashish and Armend, founders of GlassFlow. We just launched our open-source streaming ETL that deduplicates and joins Kafka streams before ingesting them to ClickHouse https://github.com/glassflow/clickhouse-etl Why we built this: Dedup with batch data is straightforward. You load the data into a temporary table. Then, find only the latest versions of the record through hashes or keys and keep them. After that, move the clean data into your main table. But have you tried this with streaming data? Users of our prev product were running real-time analytics…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →