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Alternatives

Products that do what DBLift – database migration management for Python teams does

I’ve been working for a while on DBLift, an open-source database migration toolkit for Python teams. DBLift follows the same model flyway does with the same main commands and the same history table structure making it easy to switch from one to the other with the import_flyway command. By default DBLift is out of order meaning that any unapplied migration is eligible to be applied contrary to flyway which refuse to apply any migration with a lower version until you force it. You can still apply the original flyway model you can still opt-in with the —strict flag.…

  1. 1

    Move all the Airtable data to your SQL database in 1 click

    2021

  2. 2IM

    Hello HN, I've just released a new migration tool for Go that mimics the functionality of Ruby on Rails migrations. It's designed to help Go developers manage database schema changes with ease. This allows you several benefits: - Write type-safe migrations - Auto down of migrations whenever it's possible - Easy backfill even with business logic because it's Go code - Painless integration with existing schema - sql.DB compatible and driver agnostic (it uses your driver) I have a pretty complete API to manage Postgres schema and I am working on the SQLite one (a little more complicated due to…

    2024 · github.com

  3. 3

    The easiest way to migrate data to a new CRM

    2022

  4. 4

    Import messy CSV/Excel to databases with auto map & validate

    2022

  5. 5
    8base211

    Bring powerful apps to market fast - 8base GraphQL Backend

    2020

  6. 6SS

    SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…

    2022 · github.com

  7. 7

    The Frontend Database API Gateway

    Dec 2025

  8. 8
    DBeaver130

    A free and universal database tool

    2018

  9. 9

    API-based platform to build ideal data-file import solutions

    2023

  10. 10

    Build a continuously-deliverable data migration pipeline

    2017

  11. 11DM

    2014 · github.com

  12. 12

    Turn your CSV files into live databases in seconds

    2020

  13. 13

    GitHub migrations for interactive planning

    2025

  14. 14

    Migrate CSV data without opening a single file

    2024

  15. 15SM
  16. 16GM

    I built GoSMig for my own projects and open-sourced it in case it helps others. It’s a tiny generic library (no external deps except golang.org/x/term) for writing SQL migrations in Go with compile-time checks. It supports transactional and non-transactional migrations, rollback, status, version, and a small CLI handler so you can ship your own migration binary. Why another migrator? - Minimal API, no DSL or file layout to learn - Type-safe via Go generics - Works with database/sql and sqlx out of the box - Should work with any db library (or wrapper) that implements some…

    Oct 2025 · github.com

  17. 17LD

    Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…

    2025 · github.com

  18. 18DP

    Hi HN – this is Peter from DBOS here with Qian (qianli_cs) and Jeremy (jedberg). We’re building an open-source, lightweight durable workflows library on top of Postgres. Ever since we first launched on HN last year, we’ve been blown away by the support, feedback, and response we’ve received from the community. We've realized durable workflows are critical for everything from business processes to AI automation to data pipelines, but most existing durable orchestration tools are either too heavy or too complicated for most applications. Instead, we're building something lightweight, simple,…

    2025 · github.com

  19. 19MS
  20. 20IM

    Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production pipeline!? To solve this my team and I started the open source KitOps project under the Apache 2 license. KitOps includes the Kit CLI that uses a Kitfile manifest to create ModelKits: 1. The kit CLI packages your model, datasets, code, and configuration into an OCI compliant…

    2024 · kitops.ml

  21. 21SS

    I'm a couple years late to the party but DuckDB is blowing my mind. I couldn't find an good embedded DuckDB stream processing solution so I hacked my own, calling it SQLFlow: https://github.com/turbolytics/sql-flow SQLFlow enables writing stream transformations in pure sql, executed using DuckDB. The goal was to create a lightweight, performant stream processing engine using pure SQL transformations, DuckDB didn't disappoint! I'd love your feedback, feature requests, impressions, or just comments. I'd love to turn this into a stable, usable project that people are…

    2023 · github.com

  22. 22FO

    Recently, I saw few Python accelerators getting a lot of attention, and I thought it would be a good time to finally present the project that we will make available to test in the upcoming days. Flyable is an ahead-of-time compiler that takes your Python code, analyses it, and outputs very optimized machine code. Micro-benchmarks show that it produces programs that run between 10-70x time faster than Python. Flyable is certainly one of the fastest and easiest ways to accelerate your Python code. It finally allows Python to compete in the ring of fast and efficient languages without having to…

    2020

  23. 23MB
  24. 24AT

    Caribou helps software teams manage long-term technical migrations in their projects. For example migrating from one networking library to another or migrating a codebase from one architecture pattern to another. These changes usually happen over a span of a few months and without any tooling, they can be difficult to manage. It’s difficult to understand how much progress has been made, what is still left to do and who are the engineers helping move the migration forward. Caribou was built to solve these problems. So how does it work? In simple terms, Caribou is a Github application which,…

    2022

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