historydict
A persistent dictionary with history backed by sqlite
Decision gist · record as of 2026-08-14
Yes, if you need lightweight history tracking for simple JSON-serializable data and can tolerate an abandoned package. The core functionality is stable and has no known vulnerabilities, but do not rely on it for new projects requiring active maintenance or Python version support. Verify the license before using in proprietary code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Values must be JSON-serializable (no NumPy arrays or custom objects); keys must have stable, unique string representations to avoid hash collisions in Python 3.
- Installation is straightforward with no runtime dependencies.
- However, the package is abandoned—last updated in August 2023 with no recent maintenance activity—so expect no bug fixes or updates for new Python versions.
License · maintenance · safety
(unclear) — License status is unclear; no SPDX identifier or raw license text is declared. Before using in production or proprietary code, verify the actual license terms in the repository.
last release 2023-08-05 (1105 days) · last repo commit 2023-08-05 · 3 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 76,016 downloads/mo, #14,660 on PyPI
Alternatives
Verify before relying
from historydict import HistoryDict
hist = HistoryDict('/tmp/mydict')
hist['key'] = 'value1'
hist['key'] = 'value2'
print(hist['key']) # 'value2'
print(hist.past('key', 1)) # 'value1'- Whether the package works with modern Python versions (3.10+) given its abandoned status.
- Actual license terms and whether redistribution is permitted.
- Performance characteristics with large histories or frequent updates.
What it is and what it does
HistoryDict is a lightweight wrapper around SQLite that presents a dictionary-like interface while automatically recording every value change for each key. You interact with it using standard dictionary syntax or the `past()` method to retrieve previous values by depth (1 step back, 2 steps back, etc.). All MutableMapping methods are supported, making it a drop-in replacement for a regular dict when you need to track configuration drift or audit value changes over time.
The package stores values as JSON blobs in SQLite, so only JSON-serializable data can be persisted. Keys are hashed for storage, which creates a known limitation: keys with unstable string representations (like dicts in Python 3) may collide. The library has no external runtime dependencies and installs cleanly, but it has been abandoned since August 2023 with no ongoing maintenance.
Use it for
- Track configuration parameter changes over time in long-running applications or services.
- Audit trail for user-editable settings where you need to know what changed and when.
- Lightweight versioning of simple data structures without committing to a full database schema.
- Development debugging: store intermediate state snapshots to replay or inspect past values.
- Configuration rollback scenarios where you need to recover a previous known-good state.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need lightweight history tracking for simple JSON-serializable data and can tolerate an abandoned package.
The core functionality is stable and has no known vulnerabilities, but do not rely on it for new projects requiring active maintenance or Python version support. Verify the license before using in proprietary code.
Install
historydict on PyPI
Before you install
Installation is straightforward with no runtime dependencies. However, the package is abandoned—last updated in August 2023 with no recent maintenance activity—so expect no bug fixes or updates for new Python versions.
Values must be JSON-serializable (no NumPy arrays or custom objects); keys must have stable, unique string representations to avoid hash collisions in Python 3.
License in practice
License status is unclear; no SPDX identifier or raw license text is declared. Before using in production or proprietary code, verify the actual license terms in the repository.
Quickstart
from historydict import HistoryDict
hist = HistoryDict('/tmp/mydict')
hist['key'] = 'value1'
hist['key'] = 'value2'
print(hist['key']) # 'value2'
print(hist.past('key', 1)) # 'value1'
Verify before relying
- Whether the package works with modern Python versions (3.10+) given its abandoned status.
- Actual license terms and whether redistribution is permitted.
- Performance characteristics with large histories or frequent updates.
Package facts
| License | Not declared unclear |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,105 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 76,016 / month, #14,660 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: historydict-1.2.6-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “persistent dictionary with history”
- historydictHistoryDict provides a persistent dictionary backed by SQLite that…
- agent-framework-redisAdds Redis-backed persistent memory and conversation history to…
- rocksdictRocksDict provides a Python interface to RocksDB and Speedb, enabling…
Give your agent the search over MCP, or paste the wish link into any chat.
More Database packages
psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.
Python client library for connecting to and executing commands against Redis key-value stores, supporting both synchronous and asynchronous operations.
Install it if your application needs to interact with Redis; the only prerequisite is a running Redis server instance.
YDB Python SDK is the official client library for connecting to and querying YDB databases from Python applications.
Install it if you need to connect Python applications to YDB databases.
Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.
sqlparse tokenizes SQL text into a tree of statements, clauses, and expressions, and provides functions to split scripts, format queries, and inspect parsed tokens without validating dialect or syntax.
Install it if you need to manipulate, format, or analyze SQL text programmatically.
Provides base adapter protocols and shared functionality that database adapters use to integrate with dbt-core, handling connections, dialect translation, relation caching, and core interface management.
See also sqlitedict · seba-sqlite · sqlalchemy-json · speedict · rocksdict · diskcache · langgraph-checkpoint-sqlite · attrdict · recordtype · lmdb