Teide
Fast columnar dataframe library for Python, powered by a zero-dependency C17 engine with lazy fusion execution.
Install
pip install teide
Note: v0.1.0 supports Linux and macOS only. Windows support is planned.
Quick Start
from teide import Context, col
with Context() as ctx:
df = ctx.read_csv("data.csv")
result = (
df.filter(col("price") > 0)
.group_by("category")
.agg(col("price").sum(), col("price").mean())
.sort("price_sum", descending=True)
.collect()
)
print(result)
Features
- Lazy evaluation with automatic query optimization (predicate pushdown, CSE, operator fusion)
- Morsel-driven parallel execution across all cores
- Zero-copy NumPy interop for numeric columns
- Fast CSV reader — parallel parsing, mmap I/O
- Columnar storage — splayed tables, date-partitioned datasets
- Pure C17 engine — no external dependencies, minimal memory overhead
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for teide 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| teide-0.1.0.tar.gz | 7.4 MB | Without provenance | Details for teide-0.1.0.tar.gz |
Release files / teide-0.1.0.tar.gz
| Download URL | teide-0.1.0.tar.gz |
|---|---|
| Size | 7.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9ef042f4927a4a8214bed018551f74616623a36092264c437fd85826862dc2f8
|
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
|
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