msiemens/tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

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msiemens/tinydb has 7.5k+ stars and 600+ forks on GitHub, is written in Python, and was last pushed on Oct 15, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 53 minutes ago
Type:Library / SDKCategory(s):NoSQL, Key-Value & CachesDatabases & Storage
Added to GitGenius on September 8th, 2026
Created on July 12th, 2013
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 636
Total Stargazers: 7,571 (+0)
Total Subscribers: 101 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 32.1 days
Mean response time: 144.8 days
90th percentile: 403.9 days
Tracked items: 44

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 902 days
Stale 30+ days: 3
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • contributions-welcome (6)
  • enhancement (1)
  • pinned (1)

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Detailed Description

TinyDB is a lightweight document-oriented database written in pure Python with no external dependencies, designed for small applications that do not require a full SQL database or external server.

TinyDB solves the problem of persisting structured data in small projects by providing a simple, file-based document store. It stores data as JSON documents in a local file and offers a query language that lets developers search and filter records using Python expressions. The tool supports logical operators to combine queries, field transformations, and multiple named tables within a single database file.

TinyDB suits projects that need basic data persistence without the overhead of setting up a database server. It works well for small applications, prototypes, embedded use cases, or scenarios where a SQL database would be unnecessarily complex. The project explicitly targets developers who value simplicity and a clean API over advanced database features. Anyone adopting it should know that the project is in maintenance mode, meaning it has reached a stable state where significant new features or architectural changes are not planned, though community-contributed bugfixes and features will still be released. The tool is extensible through custom storage backends and middleware, allowing developers to modify its behavior when needed.

Development activity shows that the project maintains high code quality standards with complete test coverage. The codebase remains compact and focused, with the core implementation comprising a small number of lines alongside comprehensive tests. The project's maturity is reflected in its stability across multiple Python versions and its established documentation and discussion forum for community engagement.