sqlitedict
Persistent dict in Python, backed up by sqlite3 and pickle, multithread-safe.
Decision gist · record as of 2026-08-14
No. The package is abandoned (last commit 1350 days ago) with two unpatched known vulnerabilities and no maintenance signal. While the code is stable for simple use cases, the lack of active maintenance and security patches makes it unsuitable for new projects or production systems. Consider alternatives like `shelve` (stdlib), `diskcache`, or a proper database library instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires explicit commit() calls to persist changes unless autocommit=True is set; uncommitted data is lost on close.
- High install friction with no runtime dependencies.
- The package is marked abandoned (last commit 2022-12-07, 1350 days ago) despite being marked Production/Stable.
License · maintenance · safety
Apache 2.0 (permissive) — Apache 2.0 is permissive; you can use this in commercial projects and modify it freely, but must include a copy of the license and state significant changes.
last release 2022-12-03 (1350 days) · last repo commit 2022-12-07 · 1,244 stars
2 known vulnerabilities (OSV.dev, 2026-08-14) · 1,818,385 downloads/mo, #3,519 on PyPI
Alternatives
Verify before relying
from sqlitedict import SqliteDict
db = SqliteDict('example.sqlite')
db['key'] = {'data': 'value'}
db.commit()
print(db['key'])
db.close()- Whether the two known vulnerabilities (GHSA-g4r7-86gm-pgqc, PYSEC-2026-1939) affect your use case or have workarounds.
- Current maintenance status and whether the project has been forked or adopted elsewhere.
- Performance characteristics with large databases or high write concurrency in your specific workload.
What it is and what it does
SqliteDict wraps Python's sqlite3 module to present a persistent dictionary interface backed by SQLite files. Instead of storing data in RAM, you get a dict-like object that reads from and writes to a SQLite database, making it suitable for caching, configuration storage, or small-to-medium persistent key-value needs that don't require a separate database server.
The package handles serialization (pickle by default, but JSON or custom codecs are supported), supports multiple named tables in a single database file, and provides multi-threaded access by serializing concurrent writes internally. Keys are strings; values can be any picklable Python object. You must explicitly call commit() to persist changes unless autocommit mode is enabled.
Use it for
- Cache application state or computed results to disk without running a separate database service.
- Store configuration or session data as Python objects without manual serialization.
- Persist large collections that exceed available RAM by using SQLite's disk-backed storage.
- Share data across multiple threads in the same process while avoiding sqlite3's thread-safety limitations.
- Prototype or test applications that need persistent storage before migrating to a full database.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned (last commit 1350 days ago) with two unpatched known vulnerabilities and no maintenance signal. While the code is stable for simple use cases, the lack of active maintenance and security patches makes it unsuitable for new projects or production systems. Consider alternatives like `shelve` (stdlib), `diskcache`, or a proper database library instead.
Install
sqlitedict on PyPI
Before you install
High install friction with no runtime dependencies. The package is marked abandoned (last commit 2022-12-07, 1350 days ago) despite being marked Production/Stable. Two known vulnerabilities (GHSA-g4r7-86gm-pgqc, PYSEC-2026-1939) are unpatched.
Requires explicit commit() calls to persist changes unless autocommit=True is set; uncommitted data is lost on close.
License in practice
Apache 2.0 is permissive; you can use this in commercial projects and modify it freely, but must include a copy of the license and state significant changes.
Quickstart
from sqlitedict import SqliteDict
db = SqliteDict('example.sqlite')
db['key'] = {'data': 'value'}
db.commit()
print(db['key'])
db.close()Verify before relying
- Whether the two known vulnerabilities (GHSA-g4r7-86gm-pgqc, PYSEC-2026-1939) affect your use case or have workarounds.
- Current maintenance status and whether the project has been forked or adopted elsewhere.
- Performance characteristics with large databases or high write concurrency in your specific workload.
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,350 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,818,385 / month, #3,519 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | 2 GHSA-g4r7-86gm-pgqc, PYSEC-2026-1939 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Database :: Front-Ends |
Evidence: sqlitedict-2.1.0.tar.gz
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