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apache-arrow
Here are 55 public repositories matching this topic...
kind/documentation
Improvements or additions to documentation
kind/feature
New feature or request
good first issue
Good for newcomers
priority/important-longterm
Important over the long term, but may not be staffed and/or may need multiple releases to complete.
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
mysql
python
emr
aws
data-science
lambda
aws-lambda
athena
etl
pandas
data-engineering
redshift
apache-parquet
amazon-athena
apache-arrow
aws-glue
glue-catalog
amazon-sagemaker-notebook
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Updated
Jul 8, 2022 - Python
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Updated
Jul 7, 2022 - Go
jrueb
commented
Apr 14, 2022
Version of Awkward Array
1.8.0
Description and code to reproduce
import numba
import awkward as ak
builder = ak.ArrayBuilder()
@numba.njit
def build():
builder.begin_list()
builder.begin_record()
for field_name in ("x", "y", "z"):
builder.field(field_name)
builder.integer(5)
builder.end_record()
builder.end_list()
A Rust DataFrame implementation, built on Apache Arrow
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Updated
Oct 26, 2020 - Rust
Infrastructures™ for Machine Learning Training/Inference in Production.
kubernetes
machine-learning
apache-spark
deep-learning
artificial-intelligence
awesome-list
pruning
quantization
knowledge-distillation
deep-learning-framework
model-compression
apache-arrow
federated-learning
machine-learning-systems
apache-mesos
-
Updated
May 24, 2019
Manipulate arrays of complex data structures as easily as Numpy.
python
big-data
analysis
arrow
numpy
python3
hdf5
root
parquet
columnar-storage
root-cern
apache-arrow
columnar
scikit-hep
-
Updated
Feb 8, 2021 - Python
A SQLite vtable extension to read Parquet files
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Updated
May 18, 2021 - C++
mbrobbel
commented
Oct 29, 2020
It would be helpful to have Fletchgen output warnings for unused metadata fields that start with fletcher_. For example, (this happened to me) when someone adds fletchgen_epc to Schema metadata instead of Field metadata.
enhancement
New feature or request
good first issue
Good for newcomers
lang:c++
C++ related issue
fletchgen
Fletchgen related issue
Rust-based WebAssembly bindings to read and write Apache Parquet data
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Updated
Jul 4, 2022 - Rust
Convert a CSV to a parquet file.
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Updated
Jun 21, 2022 - Python
Pod5: a high performance file format for nanopore reads.
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Updated
Jun 22, 2022 - C++
In-memory, columnar, arrow-based database.
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Updated
May 13, 2021 - C++
Query processing for an extremely simple, in-memory, columnar database using Apache Arrow to represent tables
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Updated
Oct 13, 2021 - C++
python
docker
dockerfile
aws
development
spark
etl
docker-image
sam
pandas
aws-cli
pytest
data-engineering
cdk
apache-arrow
aws-glue
python-poetry
glue-catalog
aws-glue-docker
glue-pyspark
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Updated
May 26, 2020 - Dockerfile
Converts between file formats such as CSV and Parquet
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Updated
Sep 28, 2017 - C
This is a library for working with Apache Arrow and Parquet data.
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Updated
Sep 12, 2020 - Common Lisp
Share Apache Arrow datasets between Python and R.
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Updated
May 29, 2022 - Python
DataFrame project that utilizes Apache Arrow
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Updated
Jul 8, 2020 - Go
Awesome list of alternative dataframe libraries in Python.
python
awesome
sql
arrow
pandas
datatable
awesome-list
dask
apache-arrow
cudf
rapidsai
datafusion
blazingsql
polars
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Updated
Mar 3, 2022
Get daily historical snapshots of every article on any Wiki, formatted as Parquet files
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Updated
Jul 6, 2022 - Python
A C++ library for easily writing Parquet files containing columns of (mostly) any type you wish.
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Updated
Nov 19, 2021 - C++
Read and tidy trade data from UN COMTRADE and also countries, commodities, RTAs and tariffs tables. Uses RDS and Apache Arrow, then uploads to PostgreSQL.
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Updated
May 16, 2022 - R
tradestatistics.io API, reads from PostgreSQL and provides tidy CSV and Apache Arrow data
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Updated
Apr 29, 2022 - R
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Is your feature request related to a problem? Please describe.
I want to install Pixie from an Infra as Code pipeline or from a git repo that I am syncing config from to n clusters.
Describe the solution you'd like
It would be great if this install style were documented somewhere.