condense-json
Python function for condensing JSON using replacement strings
Decision gist · record as of 2026-08-14
Yes. The package is lightweight, actively maintained, has no dependencies, and solves a specific problem well—reducing JSON size through deterministic pattern replacement with guaranteed round-tripping. The Apache-2.0 license is permissive. Install if you need to compress repetitive JSON or deduplicate structural patterns; skip if your JSON is already sparse or you need byte-identical serialization.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with no runtime dependencies.
- Active maintenance with recent release.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with attribution.
last release 2026-08-03 (11 days) · last repo commit 2026-08-03 · 11 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 456,382 downloads/mo, #6,555 on PyPI
Alternatives
Verify before relying
pip install condense-json
from condense_json import condense_json, uncondense_json
obj = {"text": "hello world", "more": "hello again"}
replacements = {"1": "hello"}
condensed = condense_json(obj, replacements)
original = uncondense_json(condensed, replacements)- Typical compression ratio or size reduction achieved on real-world JSON payloads
- Performance characteristics with large JSON structures or many replacement patterns
- Whether merge references (base + patch) are commonly useful in practice
What it is and what it does
condense-json provides two functions to reduce JSON size by identifying and replacing repeated content. The `condense_json` function scans a JSON-like object for strings that contain replacement substrings, dicts and lists that match replacement structures exactly, and dicts that are close to a replacement base (stored as base plus a patch). Each match is replaced with a compact reference marker. The `uncondense_json` function reverses this, restoring the original JSON from the condensed form.
The package handles three reference types: whole-value matches (`{"$": id}`), strings containing multiple replacements (`{"$r": [segments]}`), and dicts stored as a base plus a patch. Matching is deterministic—longest substring wins when patterns overlap—and round-tripping is guaranteed: `uncondense_json(condense_json(obj, r), r) == obj` always holds. It requires Python 3.10+ and has no external dependencies.
Use it for
- Reduce payload size when transmitting repetitive JSON (e.g., API responses with duplicate schemas or tool definitions).
- Compress JSON logs or structured data with common patterns to save storage or bandwidth.
- Deduplicate embedded JSON blobs that appear in multiple places with minor variations.
- Minimize JSON sent to language models or other services where token count or size matters.
- Archive or cache JSON while preserving exact round-trip fidelity.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is lightweight, actively maintained, has no dependencies, and solves a specific problem well—reducing JSON size through deterministic pattern replacement with guaranteed round-tripping. The Apache-2.0 license is permissive. Install if you need to compress repetitive JSON or deduplicate structural patterns; skip if your JSON is already sparse or you need byte-identical serialization.
Install
condense-json on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Active maintenance with recent release.
Requires Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows commercial and private use with attribution.
Quickstart
pip install condense-json
from condense_json import condense_json, uncondense_json
obj = {"text": "hello world", "more": "hello again"}
replacements = {"1": "hello"}
condensed = condense_json(obj, replacements)
original = uncondense_json(condensed, replacements)Verify before relying
- Typical compression ratio or size reduction achieved on real-world JSON payloads
- Performance characteristics with large JSON structures or many replacement patterns
- Whether merge references (base + patch) are commonly useful in practice
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 11 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 456,382 / month, #6,555 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Typing :: Typed |
Evidence: condense_json-1.1-py3-none-any.whl
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