Alternatives
Products that do what CocktailCMS – in-browser database with no login or servers required does
During the lockdown in 2020, my girlfriend, an enthusiastic mixologist, needed a tool to organize her cocktail recipes and visualize the data. Traditional spreadsheets weren't cutting it due to the deeply nested data, and this struggle led me to create 'CocktailCMS'. Drawing inspiration from old-school databases like DBase, FoxPro, and MS Access, CocktailCMS is a browser-based database with features such as linking datasets and sub-tables. It's designed for local data storage in JSON format, but there's an option to sync with Google Drive for backup. Data can be exported in CSV and easily…
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I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…
Oct 2025 · demo.duckui.com
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Hello HN! I've found my SQL knowledge to be lacking, so I made a project that uses SQLite as a backend. As it is intended for self-hosting I aim to make it easy to set up and maintain. Getting it up & running takes no more than a few commands (bar setting up a proxy such as nginx, which is out of scope). I've set up a "demo" site at https://forum.agreper.com/ if you want to try out the UI.
2022 · github.com
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Hi HN, My name is JR and I had a need for a simple analytics solution that allowed me to store (timestamp, json) logs and run SQL over them. It was hard to find the right solution. Solutions like Mixpanel and Amplitude optimized for particular report types. Whereas solutions like Snowflake, BigQuery, etc. required a lot of setup. I built GraphJSON to fit in the middle. I strived for the ease of use of tools like Mixpanel and Amplitude, but wanted to ensure affordances were built to support use cases that big data warehouses enable. Under the hood, GraphJSON is powered by ClickHouse. This…
2022 · graphjson.com
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2024 · sql-workbench.com
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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
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I love Jekyll, especially the Datafiles[0] feature, which lets you use CSV/JSON/YAML files and iterate through them. Mixed with the Jekyll Data Pages generator[1], which lets you create a page for every row in your dataset, it is a very powerful combination. However, Liquid is a terrible language for data-mangling, and simple filtering/sorting/merging can become very annoying. So I wrote a Jekyll SQLite plugin that lets you use the same data interface in Jekyll/Liquid, but backed by a SQLite file(s). It gives you the simplicity of the Baked Data pattern[2], and the…
2024 · github.com
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If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB.…
2024 · visualdb.com
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2023 · play.questdb.io
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Hey HN, I am Alex. I am open sourcing Data Studio, a lightweight data exploration IDE in your browser that runs locally. Try it: https://local.dataspren.com (no account needed, runs locally) More information: https://github.com/dataspren-analytics/data-studio I love working with data (Postgres, SQL, DuckDB, DBT, Iceberg, ...). I always wanted a data exploration tool that runs in my browser and just works. Without any infra or privacy concerns (DuckDB UI came quite close). Features: - Data Notebooks - SQL cells work like DBT models (they materialize to views) -…
Feb 2026 · github.com
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Buckaroo is my open source project. It is a dataframe viewer that has the basic features we expect in a modern table - scroll, search, sort. In addition there are summary stats, and histograms available. Buckaroo support Pandas and Polars dataframes and works on Jupter, Marimo, VSCode and Google Colab notebooks. All of this is extensible. I think of Buckaroo as a framework for building table UIs, and an initial data exploration app built on top of that framework. AG-Grid is used for the core table display and it has been customized with a declarative layer so you don't have to pass JS…
2025 · github.com
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Hi All, I’ve been working on Aidmin for quite some time now, and finally released a beta version of it. I’ve focused most of my efforts on security, making sure that Aidmin can’t negatively impact your database. I talk about that a little bit in the Security Overview (https://github.com/aidmin-io/docs/blob/main/security-overvie...). I would love to know if Aidmin would be helpful at your workplace, and if not, why? Are there any features that are missing which would make it much more useful? Thank you for checking out the project!
2021 · aidmin.io
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Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…
2022 · github.com
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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
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