Queryosity
Queryosity is a row-wise data analysis library for (semi-)structured data.
- Lazy dataflow interface.
- Multithreaded processing.
- Support for arbitrary input/output data.
- Automatic propagation of systematic variations.
Hello World
#include <fstream>
#include <sstream>
#include <vector>
#include <queryosity.hpp>
#include <queryosity/boost/histogram.hpp>
#include <queryosity/nlohmann/json.hpp>
using dataflow = qty::dataflow;
namespace multithread = qty::multithread;
namespace dataset = qty::dataset;
namespace column = qty::column;
namespace query = qty::query;
using json = qty::nlohmann::json;
using h1d = qty::boost::histogram::histogram<double>;
using linax = qty::boost::histogram::axis::regular;
int main() {
dataflow df(multithread::enable(10));
std::ifstream data("data.json");
auto [x, w] = df.read(
dataset::input<json>(data), dataset::column<std::vector<double>>("x"), dataset::column<double>("w"));
auto zero = df.define(column::constant(0));
auto x0 = x[zero];
auto sel =
df.weight(w)
.filter(column::expression(
[](std::vector<double> const &v) { return v.size(); }))(x);
auto h_x0_w = df.get(query::output<h1d>(linax(20, 0.0, 200.0)))
.fill(x0)
.at(sel)
.result();
std::ostringstream os;
os << *h_x0_w;
std::cout << os.str() << std::endl;
}
Installation
Single-header
#include <queryosity.hpp>
CMake
git clone https://github.com/taehyounpark/queryosity.git
External
cd queryosity/ && mkdir build/ && cd build/
cmake -DQUERYOSITY_INSTALL=ON ../
cmake --build .
cmake --install .
find_package(queryosity 0.9.4 REQUIRED)
...
add_library(Analysis ...)
...
target_link_libraries(Analysis INTERFACE queryosity::queryosity)
#include <queryosity.hpp>
Integrated
add_subdirectory(queryosity)
...
add_library(Analysis ...)
...
target_link_libraries(Analysis INTERFACE queryosity::queryosity)
Metadata
Release files for queryosity 0.9.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| queryosity-0.9.4.tar.gz | 20.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| queryosity-0.9.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.7 kB
Release files / queryosity-0.9.4.tar.gz
| Download URL | queryosity-0.9.4.tar.gz |
|---|---|
| Size | 20.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2ab3020c40b12f8cc175d9b1c6f069d01c2ff6ece4847f176511696bee3c3b8f
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Transparency logRelease files / queryosity-0.9.4-py3-none-any.whl
| Download URL | queryosity-0.9.4-py3-none-any.whl |
|---|---|
| Size | 26.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
287c4d77d10282ff2a2c0b4d17667b1f29a0bb5b77564b10871f15a303b2040d
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 24, 2026.
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