Database-agnostic JSON schema discovery
Quickly get insight into the general structure of a large set of JSON files by creating a structure summary showing the type and frequency of objects key
Quickstart
Start with Empty or by passing a python object to make_schema()
Merge a schema onto another using += (also accepts python objects on the right hand side)
Visualize the resulting schema with dumps() or by printing the object
Get a detailed tabulated view of the overall structure with statistics()
Release files for json-schema-discovery 1.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| json-schema-discovery-1.3.2.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| json_schema_discovery-1.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 kB
Release files / json-schema-discovery-1.3.2.tar.gz
| Download URL | json-schema-discovery-1.3.2.tar.gz |
|---|---|
| Size | 4.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/0.12.17 CPython/3.7.3 Linux/4.15.0-62-generic
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Release files / json_schema_discovery-1.3.2-py3-none-any.whl
| Download URL | json_schema_discovery-1.3.2-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/0.12.17 CPython/3.7.3 Linux/4.15.0-62-generic
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