kedro-datasets@0.0.1

Kedro-Datasets is where you can find all of Kedro's data connectors.

2022-06-22 Python >=3.10 wheel sdist
安装 (0.0.1)
pip install kedro-datasets==0.0.1
poetry add kedro-datasets==0.0.1
pipenv install kedro-datasets==0.0.1
conda install kedro-datasets=0.0.1
依赖 (348)
依赖
backports.strenum; python_version < "3.11"
kedro<2.0.0,>=1.0.0rc1
lazy_loader
pandas<4.0,>=1.3; extra == "pandas-base"
pyspark<5.0,>=2.2; extra == "spark-base"
hdfs<3.0,>=2.5.8; extra == "hdfs-base"
s3fs>=2021.4; extra == "s3fs-base"
polars>=0.18.0; extra == "polars-base"
plotly<6.0,>=4.8.0; extra == "plotly-base"
delta-spark<5.0,>=1.0; extra == "delta-base"
networkx~=3.4; extra == "networkx-base"
pyspark<5.0,>=2.2; extra == "spark-local"
s3fs>=2021.4; extra == "spark-s3"
gcsfs>=2023.1; extra == "spark-gcs"
adlfs>=2023.1; extra == "spark-azure"
pyarrow>=7.0; extra == "spark-hdfs"
kedro-datasets[spark-local,spark-s3]; extra == "spark"
kedro-datasets[spark-azure,spark-gcs,spark-s3]; extra == "spark-cloud"
kedro-datasets[delta-base,spark-core]; extra == "spark-deltatabledataset"
kedro-datasets[spark-core]; extra == "spark-sparkdataset"
kedro-datasets[spark-core]; extra == "spark-sparkhivedataset"
kedro-datasets[spark-core]; extra == "spark-sparkjdbcdataset"
kedro-datasets[spark-core]; extra == "spark-sparkstreamingdataset"
kedro-datasets[spark-cloud,spark-deltatabledataset,spark-local,spark-sparkdataset,spark-sparkhivedataset,spark-sparkjdbcdataset,spark-sparkstreamingdataset]; extra == "spark-all"
requests~=2.20; extra == "api-apidataset"
kedro-datasets[api-apidataset]; extra == "api"
biopython~=1.73; extra == "biosequence-biosequencedataset"
kedro-datasets[biosequence-biosequencedataset]; extra == "biosequence"
dask[dataframe]>=2021.10; extra == "dask-csvdataset"
dask[complete]>=2021.10; extra == "dask-parquetdataset"
triad<2.0,>=0.6.7; extra == "dask-parquetdataset"
kedro-datasets[dask-csvdataset,dask-parquetdataset]; extra == "dask"
kedro-datasets[hdfs-base,s3fs-base]; extra == "databricks-managedtabledataset"
kedro-datasets[databricks-managedtabledataset]; extra == "databricks"
geopandas<2.0,>=0.8.0; extra == "geopandas-genericdataset"
fiona<2.0,>=1.8; python_version < "3.14" and extra == "geopandas-genericdataset"
kedro-datasets[geopandas-genericdataset]; extra == "geopandas"
holoviews>=1.13.0; extra == "holoviews-holoviewswriter"
kedro-datasets[holoviews-holoviewswriter]; extra == "holoviews"
datasets; extra == "huggingface-hfdataset"
huggingface_hub; extra == "huggingface-hfdataset"
transformers; extra == "huggingface-hftransformerpipelinedataset"
datasets; extra == "huggingface-arrowdataset"
datasets; extra == "huggingface-csvdataset"
datasets; extra == "huggingface-jsondataset"
datasets; extra == "huggingface-parquetdataset"
kedro-datasets[huggingface-arrowdataset,huggingface-csvdataset,huggingface-hfdataset,huggingface-hftransformerpipelinedataset,huggingface-jsondataset,huggingface-parquetdataset]; extra == "huggingface"
ibis-framework[athena]; extra == "ibis-athena"
ibis-framework[bigquery]; extra == "ibis-bigquery"
ibis-framework[clickhouse]; extra == "ibis-clickhouse"
ibis-framework[dask]<10.0; extra == "ibis-dask"
ibis-framework[databricks]; extra == "ibis-databricks"
ibis-framework[datafusion]; extra == "ibis-datafusion"
ibis-framework[druid]; extra == "ibis-druid"
ibis-framework[duckdb]; extra == "ibis-duckdb"
ibis-framework[exasol]; extra == "ibis-exasol"
ibis-framework; extra == "ibis-flink"
apache-flink; extra == "ibis-flink"
ibis-framework[impala]; extra == "ibis-impala"
ibis-framework[materialize]; extra == "ibis-materialize"
ibis-framework[mssql]; extra == "ibis-mssql"
ibis-framework[mysql]; extra == "ibis-mysql"
ibis-framework[oracle]; extra == "ibis-oracle"
ibis-framework[pandas]<10.0; extra == "ibis-pandas"
ibis-framework[polars]; extra == "ibis-polars"
ibis-framework[postgres]; extra == "ibis-postgres"
ibis-framework[pyspark]; extra == "ibis-pyspark"
ibis-framework[risingwave]; extra == "ibis-risingwave"
ibis-framework[singlestoredb]; extra == "ibis-singlestoredb"
ibis-framework[snowflake]; extra == "ibis-snowflake"
ibis-framework[sqlite]; extra == "ibis-sqlite"
ibis-framework[trino]; extra == "ibis-trino"
ibis-framework; extra == "ibis"
kedro-datasets[json-jsondataset]; extra == "json"
langchain-openai>=0.1.7; extra == "langchain-chatopenaidataset"
langchain-openai>=0.1.7; extra == "langchain-openaiembeddingsdataset"
langchain-anthropic>=0.1.13; extra == "langchain-chatanthropicdataset"
langchain-community>=0.2.0; extra == "langchain-chatanthropicdataset"
langchain-cohere>=0.1.5; extra == "langchain-chatcoheredataset"
langchain-community>=0.2.0; extra == "langchain-chatcoheredataset"
scipy; extra == "matlab-matlabdataset"
kedro-datasets[matlab-matlabdataset]; extra == "matlab"
matplotlib<4.0,>=3.0.3; extra == "matplotlib-matplotlibdataset"
kedro-datasets[matplotlib-matplotlibdataset]; extra == "matplotlib"
kedro-datasets[networkx-base]; extra == "networkx-gmldataset"
kedro-datasets[networkx-base]; extra == "networkx-graphmldataset"
kedro-datasets[networkx-base]; extra == "networkx-jsondataset"
kedro-datasets[networkx-base]; extra == "networkx"
python-docx; extra == "openxml-docxdataset"
python-pptx; extra == "openxml-pptxdataset"
kedro-datasets[openxml-docxdataset]; extra == "openxml"
kedro-datasets[openxml-pptxdataset]; extra == "openxml"
optuna; extra == "optuna-studydataset"
kedro-datasets[optuna-studydataset]; extra == "optuna"
kedro-datasets[pandas-base]; extra == "pandas-csvdataset"
kedro-datasets[pandas-base]; extra == "pandas-deltatabledataset"
deltalake>=0.10.0; extra == "pandas-deltatabledataset"
kedro-datasets[pandas-base]; extra == "pandas-exceldataset"
openpyxl<4.0,>=3.0.6; extra == "pandas-exceldataset"
kedro-datasets[pandas-base]; extra == "pandas-featherdataset"
kedro-datasets[pandas-base]; extra == "pandas-gbqtabledataset"
pandas-gbq>=0.12.0; extra == "pandas-gbqtabledataset"
kedro-datasets[pandas-base]; extra == "pandas-gbqquerydataset"
pandas-gbq>=0.12.0; extra == "pandas-gbqquerydataset"
kedro-datasets[pandas-base]; extra == "pandas-genericdataset"
kedro-datasets[pandas-base]; extra == "pandas-hdfdataset"
tables>=3.6; extra == "pandas-hdfdataset"
kedro-datasets[pandas-base]; extra == "pandas-jsondataset"
kedro-datasets[pandas-base]; extra == "pandas-parquetdataset"
pyarrow>=6.0; extra == "pandas-parquetdataset"
kedro-datasets[pandas-base]; extra == "pandas-sqltabledataset"
SQLAlchemy<3.0,>=1.4; extra == "pandas-sqltabledataset"
kedro-datasets[pandas-base]; extra == "pandas-sqlquerydataset"
SQLAlchemy<3.0,>=1.4; extra == "pandas-sqlquerydataset"
pyodbc>=4.0; extra == "pandas-sqlquerydataset"
kedro-datasets[pandas-base]; extra == "pandas-xmldataset"
lxml<7.0,>=6.1; python_version >= "3.13" and extra == "pandas-xmldataset"
lxml~=4.6; python_version < "3.13" and extra == "pandas-xmldataset"
kedro-datasets[pandas-csvdataset,pandas-deltatabledataset,pandas-exceldataset,pandas-featherdataset,pandas-gbqquerydataset,pandas-gbqtabledataset,pandas-genericdataset,pandas-hdfdataset,pandas-jsondataset,pandas-parquetdataset,pandas-sqlquerydataset,pandas-sqltabledataset,pandas-xmldataset]; extra == "pandas"
compress-pickle[lz4]~=2.1.0; extra == "pickle-pickledataset"
kedro-datasets[pickle-pickledataset]; extra == "pickle"
Pillow>=9.0; extra == "pillow-imagedataset"
kedro-datasets[pillow-imagedataset]; extra == "pillow"
kedro-datasets[plotly-base]; extra == "plotly-htmldataset"
kedro-datasets[plotly-base]; extra == "plotly-jsondataset"
kedro-datasets[pandas-base,plotly-base]; extra == "plotly-plotlydataset"
kedro-datasets[plotly-htmldataset,plotly-jsondataset,plotly-plotlydataset]; extra == "plotly"
kedro-datasets[polars-base]; extra == "polars-csvdataset"
requests~=2.20; extra == "test"
kedro-datasets[polars-base]; extra == "polars-eagerpolarsdataset"
pyarrow>=4.0; extra == "polars-eagerpolarsdataset"
xlsx2csv>=0.8.0; extra == "polars-eagerpolarsdataset"
deltalake>=0.6.2; extra == "polars-eagerpolarsdataset"
kedro-datasets[polars-base]; extra == "polars-lazypolarsdataset"
pyarrow>=4.0; extra == "polars-lazypolarsdataset"
deltalake>=0.6.2; extra == "polars-lazypolarsdataset"
kedro-datasets[polars-csvdataset,polars-eagerpolarsdataset,polars-lazypolarsdataset]; extra == "polars"
redis~=4.1; extra == "redis-pickledataset"
kedro-datasets[redis-pickledataset]; extra == "redis"
snowflake-snowpark-python>=1.23; extra == "snowflake-snowparktabledataset"
kedro-datasets[snowflake-snowparktabledataset]; extra == "snowflake"
scikit-learn>=1.0.2; extra == "svmlight-svmlightdataset"
scipy>=1.7.3; extra == "svmlight-svmlightdataset"
kedro-datasets[svmlight-svmlightdataset]; extra == "svmlight"
tensorflow~=2.0; ((platform_system != "Darwin" or platform_machine != "arm64") and python_version < "3.14") and extra == "tensorflow-tensorflowmodeldataset"
tensorflow-macos~=2.0; (platform_system == "Darwin" and platform_machine == "arm64" and python_version < "3.14") and extra == "tensorflow-tensorflowmodeldataset"
kedro-datasets[tensorflow-tensorflowmodeldataset]; extra == "tensorflow"
kedro-datasets[text-textdataset]; extra == "text"
kedro-datasets[pandas-base]; extra == "yaml-yamldataset"
PyYAML<7.0,>=4.2; extra == "yaml-yamldataset"
kedro-datasets[yaml-yamldataset]; extra == "yaml"
chromadb>=1.0.0; extra == "chromadb-chromadbdataset"
kedro-datasets[chromadb-chromadbdataset]; extra == "chromadb"
u8darts-all; extra == "darts-torch-model-dataset"
kedro-datasets[darts-torch-model-dataset]; extra == "darts"
kedro-datasets[hdfs-base,s3fs-base]; extra == "databricks-externaltabledataset"
langchain>=0.3.0; extra == "langchain-promptdataset"
kedro-datasets[langchain-chatanthropicdataset,langchain-chatcoheredataset,langchain-chatopenaidataset,langchain-openaiembeddingsdataset,langchain-promptdataset]; extra == "langchain"
langfuse>=3.14.0; extra == "langfuse-evaluationdataset"
langfuse>=2.0.0; extra == "langfuse-promptdataset"
langfuse>=2.0.0; extra == "langfuse-tracedataset"
langfuse>=2.0.0; extra == "langfuse-tracedataset-autogen"
opentelemetry-sdk; extra == "langfuse-tracedataset-autogen"
opentelemetry-exporter-otlp-proto-http; extra == "langfuse-tracedataset-autogen"
kedro-datasets[langfuse-evaluationdataset,langfuse-promptdataset,langfuse-tracedataset,langfuse-tracedataset-autogen]; extra == "langfuse"
openai>=2.3.0; extra == "langfuse"
langchain<1.0,>=0.2.0; extra == "langfuse"
mlrun>=1.10.0; extra == "mlrun"
opik>=1.8.0; extra == "opik-evaluationdataset"
opik>=1.8.0; extra == "opik-promptdataset"
opik>=1.8.0; extra == "opik-tracedataset"
opik>=1.8.0; extra == "opik-tracedataset-autogen"
opentelemetry-sdk; extra == "opik-tracedataset-autogen"
opentelemetry-exporter-otlp-proto-http; extra == "opik-tracedataset-autogen"
kedro-datasets[opik-evaluationdataset,opik-promptdataset,opik-tracedataset,opik-tracedataset-autogen]; extra == "opik"
openai>=2.3.0; extra == "opik"
langchain>=0.2.0; extra == "opik"
h5netcdf>=1.2.0; extra == "netcdf-netcdfdataset"
netcdf4>=1.6.4; extra == "netcdf-netcdfdataset"
xarray>=2023.1.0; extra == "netcdf-netcdfdataset"
kedro-datasets[netcdf-netcdfdataset]; extra == "netcdf"
pypdf>=3.0.0; extra == "pypdf-pdfdataset"
cryptography>=3.1; extra == "pypdf-pdfdataset"
kedro-datasets[pypdf-pdfdataset]; extra == "pypdf"
prophet>=1.1.5; extra == "prophet-dataset"
kedro-datasets[prophet]; extra == "prophet"
torch; extra == "pytorch-dataset"
kedro-datasets[pytorch-dataset]; extra == "pytorch"
rioxarray>=0.15.0; extra == "rioxarray-geotiffdataset"
kedro-datasets[rioxarray-geotiffdataset]; extra == "rioxarray"
safetensors; extra == "safetensors-safetensorsdataset"
numpy; extra == "safetensors-safetensorsdataset"
kedro-datasets[safetensors-safetensorsdataset]; extra == "safetensors"
opencv-python~=4.13.0.92; extra == "video-videodataset"
kedro-datasets[video-videodataset]; extra == "video"
mkdocs>=1.6.1; extra == "docs"
mkdocs-material>=9.6.11; extra == "docs"
mkdocs-material-extensions>=1.3.1; extra == "docs"
mkdocs-mermaid2-plugin>=1.2.1; extra == "docs"
mkdocs-autorefs>=1.4.1; extra == "docs"
mkdocs-get-deps>=0.2.0; extra == "docs"
mkdocstrings-python>=0.29.1; extra == "docs"
linkchecker>=10.2.1; extra == "docs"
ipykernel<7.0,>=5.3; extra == "docs"
Jinja2<3.2.0; extra == "docs"
black; extra == "docs"
ruff; extra == "docs"
mkdocs-llmstxt; extra == "docs"
accelerate<0.32; extra == "test"
adlfs~=2023.1; extra == "test"
biopython~=1.73; extra == "test"
chromadb>=1.0.0; extra == "test"
cloudpickle~=2.2.1; python_version < "3.14" and extra == "test"
cloudpickle>=3.1.2; python_version >= "3.14" and extra == "test"
compress-pickle[lz4]~=2.1.0; extra == "test"
coverage>=7.2.0; extra == "test"
dask[complete]>=2021.10; extra == "test"
deltalake>=0.10.0; extra == "test"
delta-spark<3.0,>=1.0; python_version <= "3.11" and extra == "test"
delta-spark<4.1,>=4.0; python_version >= "3.12" and extra == "test"
dill~=0.3.1; extra == "test"
duckdb>=1.4.0; extra == "test"
filelock<4.0,>=3.4.0; extra == "test"
fiona<2.0,>=1.8; python_version < "3.14" and extra == "test"
gcsfs>=2023.1; extra == "test"
geopandas<2.0,>=0.8.0; extra == "test"
hdfs<3.0,>=2.5.8; extra == "test"
holoviews>=1.13.0; extra == "test"
ibis-framework[duckdb,examples]; extra == "test"
ipython<8.0,>=7.31.1; extra == "test"
Jinja2<3.2.0; extra == "test"
joblib>=0.14; extra == "test"
jupyterlab>=3.0; extra == "test"
jupyter~=1.0; extra == "test"
langchain-openai>=0.1.7; extra == "test"
langchain-cohere>=0.1.5; extra == "test"
langchain-anthropic>=0.1.13; extra == "test"
langchain-community>=0.2.0; extra == "test"
lxml~=5.0; python_version < "3.14" and extra == "test"
lxml<7.0,>=6.1; python_version >= "3.14" and extra == "test"
matplotlib<4.0,>=3.5; extra == "test"
memory_profiler<1.0,>=0.50.0; extra == "test"
moto==5.0.0; extra == "test"
networkx==3.4; extra == "test"
openpyxl<4.0,>=3.0.3; extra == "test"
pandas-gbq>=0.12.0; extra == "test"
pandas>=2.0; python_version < "3.11" and extra == "test"
pandas>=3.0; python_version >= "3.11" and extra == "test"
Pillow<13.0,>=12.2; extra == "test"
plotly<6.0,>=4.8.0; extra == "test"
polars[deltalake,xlsx2csv]>=1.0; extra == "test"
pyarrow>=1.0; python_version < "3.11" and extra == "test"
pyarrow>=7.0; python_version >= "3.11" and extra == "test"
pyodbc~=5.0; extra == "test"
pyspark<4.0,>=3.0; python_version < "3.11" and extra == "test"
pyspark<4.0,>=3.4; python_version == "3.11" and extra == "test"
pyspark<4.1,>=4.0; python_version >= "3.12" and extra == "test"
pytest-cov<8.0,>=7.0; extra == "test"
pytest-mock<2.0,>=1.7.1; extra == "test"
pytest-xdist[psutil]~=2.2.1; extra == "test"
pytest~=7.2; extra == "test"
python-docx; extra == "test"
python-pptx; extra == "test"
redis~=4.1; extra == "test"
reportlab>=3.6.0; extra == "test"
requests-mock~=1.6; extra == "test"
s3fs>=2021.04; extra == "test"
snowflake-snowpark-python>=1.23; python_version < "3.12" and extra == "test"
scikit-learn<2,>=1.0.2; extra == "test"
scipy>=1.7.3; extra == "test"
packaging; extra == "test"
pyOpenSSL>=22.1.0; extra == "test"
SQLAlchemy>=1.2; extra == "test"
tables>=3.6; extra == "test"
tensorflow-macos~=2.0; (platform_system == "Darwin" and platform_machine == "arm64" and python_version < "3.14") and extra == "test"
tensorflow~=2.0; ((platform_system != "Darwin" or platform_machine != "arm64") and python_version < "3.14") and extra == "test"
triad<2.0,>=0.6.7; extra == "test"
xarray>=2023.1.0; extra == "test"
xlsxwriter~=1.0; extra == "test"
datasets>=3.0.0; extra == "test"
huggingface_hub; extra == "test"
transformers[torch]; extra == "test"
bandit<2.0,>=1.6.2; extra == "lint"
blacken-docs==1.9.2; extra == "lint"
black~=22.0; extra == "lint"
detect-secrets~=1.5.0; extra == "lint"
import-linter[toml]==1.2.6; extra == "lint"
mypy~=1.0; extra == "lint"
pre-commit>=2.9.2; extra == "lint"
ruff~=0.14.4; extra == "lint"
types-cachetools; extra == "lint"
types-PyYAML; extra == "lint"
types-redis; extra == "lint"
types-requests; extra == "lint"
types-decorator; extra == "lint"
types-six; extra == "lint"
types-tabulate; extra == "lint"
langchain-openai; extra == "experimental"
langchain-cohere; extra == "experimental"
langchain-anthropic; extra == "experimental"
langchain-community; extra == "experimental"
langfuse; extra == "experimental"
h5netcdf>=1.2.0; extra == "experimental"
netcdf4>=1.6.4; extra == "experimental"
xarray>=2023.1.0; extra == "experimental"
rioxarray; extra == "experimental"
torch; extra == "experimental"
opencv-python~=4.13.0.92; extra == "experimental"
prophet>=1.1.5; extra == "experimental"
opik; extra == "experimental"
optuna; extra == "experimental"
u8darts[all]; extra == "experimental"
pypdf>=3.0.0; extra == "experimental"
delta-spark<3.0,>=1.0; python_version <= "3.11" and extra == "experimental-test"
delta-spark<4.1,>=4.0; python_version >= "3.12" and extra == "experimental-test"
langchain-openai; extra == "experimental-test"
langchain-cohere; extra == "experimental-test"
langchain-anthropic; extra == "experimental-test"
langchain-community; extra == "experimental-test"
langfuse; extra == "experimental-test"
openai>=2.3.0; extra == "experimental-test"
langchain>=0.2.0; extra == "experimental-test"
h5netcdf>=1.2.0; extra == "experimental-test"
netcdf4<1.7.4,>=1.6.4; extra == "experimental-test"
xarray>=2023.1.0; extra == "experimental-test"
rioxarray; extra == "experimental-test"
torch; extra == "experimental-test"
opencv-python~=4.13.0.92; extra == "experimental-test"
prophet>=1.1.5; extra == "experimental-test"
opik; extra == "experimental-test"
optuna; extra == "experimental-test"
pyspark<4.0,>=3.0; python_version < "3.11" and extra == "experimental-test"
pyspark<4.0,>=3.4; python_version == "3.11" and extra == "experimental-test"
pyspark>=4.0; python_version >= "3.12" and extra == "experimental-test"
pytest-cov<8.0,>=7.0; extra == "experimental-test"
pytest-mock<2.0,>=1.7.1; extra == "experimental-test"
pytest-xdist[psutil]~=2.2.1; extra == "experimental-test"
pytest~=7.2; extra == "experimental-test"
u8darts[all]; extra == "experimental-test"
pypdf>=3.0.0; extra == "experimental-test"
moto==5.0.0; extra == "experimental-test"
gcsfs>=2023.1; extra == "experimental-test"
s3fs>=2021.04; extra == "experimental-test"
reportlab>=3.6.0; extra == "experimental-test"
chromadb>=1.0.0; extra == "experimental-test"
litellm<1.80.12; python_version >= "3.14" and extra == "experimental-test"
dask[complete]>=2021.10; extra == "experimental-test"
kedro-datasets[docs,lint,test]; extra == "all"
下载文件
文件名类型Python 版本大小
kedro_datasets-0.0.1-py3-none-any.whl bdist_wheel py3 2198 bytes
kedro-datasets-0.0.1.tar.gz sdist source 2683 bytes
版本列表
9.4.0 2026-05-26
9.3.0 2026-04-02
9.2.0 2026-02-16
9.1.1 2025-12-19
9.1.0 2025-12-18
9.0.0 2025-11-17
8.1.0 2025-08-21
8.0.0 2025-07-14
7.0.0 2025-04-25
6.0.0 2024-12-18
5.1.0 2024-10-18
5.0.0 2024-10-10
4.1.0 2024-08-02
4.0.0 2024-07-05
3.0.1 2024-05-30
3.0.0 2024-04-10
2.1.0 2024-02-28
2.0.0 2023-12-11
1.8.0 2023-10-24
1.7.1 2023-10-06
1.7.0 2023-09-01
1.6.0 2023-08-24
1.5.3 2023-08-18
1.5.2 2023-08-15
1.5.1 2023-08-01
1.5.0 2023-07-31
1.4.2 2023-07-03
1.4.1 2023-06-13
1.4.0 2023-05-31
1.3.0 2023-05-22
1.2.0 2023-03-24
1.1.1 2023-03-22
1.1.0 2023-03-20
1.0.2 2023-02-02
1.0.1 2023-01-10
1.0.0 2022-12-06
0.0.7 2022-12-05
0.0.6 2022-11-29
0.0.5 2022-10-26
0.0.4 2022-07-07
0.0.3 2022-07-06
0.0.2 2022-06-23
0.0.1 2022-06-22