StampDB
StampDB is a performant time series database inspired by tinyflux, with a focus on maximizing compatibility with the PyData ecosystem. It is designed to work natively with NumPy and Pythons datetime module.
Key Features
C++ Core
- Efficient CSV Parsing (
csv2based). - In-Memory Indexing for fast lookups.
- Append-Only Writes for data integrity.
- Simple and fast Range Queries.
- Atmoic Writes.
Python Frontend
- Seamless conversion from C++ CSV objects to NumPy structured arrays.
- Relational algebra operations like joins, summations, and more using NumPy on structured arrays.
- Use Native Datetime objects for I/O.
You should not use StampDB if you need advanced database features like:
- Access from multiple processes or threads
- An HTTP server
- Management of relationships between tables
- Access control and users
- ACID guarantees
- High performance as the size of your dataset grows
Use Cases
- IOT and Sensor Data
- Scientific and Research Data Acquisition
- Single Node Data Processing
- Private Data Storage
Installation
Supported Python versions:
> 3.6 && <= 3.13
| OS | 3.7 | 3.8 | 3.9 | 3.10 | 3.11 | 3.12 | 3.13 | PyPy |
|---|---|---|---|---|---|---|---|---|
| Windows | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🚫 |
| Linux | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🚫 |
| MacOS | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | 🚫 |
i686 ISA not supported.
Using pip
pip install stampdb
Build from source
Clone the repository.
git clone --recursive https://github.com/you/stampdb.git
# If csv2 C++ library is not cloned, you might have to explicitly clone it at `libs/csv2`.
Build the Python API.
python -m build
Running tests
After going to the tests/ folder, run:
python -m pytest -s
Quick Start
I/O using StampDB.
from stampdb import *
# This will create a csv store with time, temp, humidity columns.
db = StampDB("test.csv", schema={"temp": "float", "humidity": "float"})
# Appending a point.
p = Point(time=1, data=[22.5, "moderate"])
db.append_point(p)
# Doing append only writes to the disk.
db.checkpoint()
# Doing in memory deletion.
db.delete_point(time=1)
# Forcing actual disk deletion.
db.compact() # If not done explicitly, it happens on close.
# Closing the database.
db.close()
Relational Algebra using StampDB.
from stampdb.relational import *
# Given the db is loaded and running using the `Quick Start` section.
out = db.read_range(0, 10)
assert isinstance(out, np.ndarray)
s = Selection("temp > 24", out)
assert s.do().size == 1
p = Projection(["temp"], out)
assert p.do().size == 2
plus = Summation("temp", out)
assert plus.do() == 48
orderby = OrderBy(["temp"], out)
assert orderby.do().size == 2
assert orderby.do()["temp"][0] == 23.5
Joins using StampDB.
from stampdb.relational import *
db = StampDB("test.csv", schema={"temp": "float", "humidity": "float"})
for i in range(100):
time = i
temp = random.randint(0, 50)
humidity = random.choice(["low", "moderate", "high"])
p = Point(time=time, data=[temp, humidity])
db.append_point(p)
# Written to disk.
db.compact()
db2 = StampDB("test2.csv", schema={"weather": "string", "temp": "float"})
for i in range(100):
time = i
temp = random.randint(0, 50)
weather = random.choice(["sunny", "rainy", "cloudy"])
p = Point(time=time, data=[weather, temp])
db2.append_point(p)
# Written to disk.
db2.compact()
data = db.read_range(0, 100)
assert data.size == 100
ij = InnerJoin(data, db2.read_range(0, 100), "temp", "temp")
assert ij.do().size > 0
oj = OuterJoin(data, db2.read_range(0, 100), "temp", "temp")
assert oj.do().size > 0
loj = LeftOuterJoin(data, db2.read_range(0, 100), "temp", "temp")
assert loj.do().size > 0
db.close()
db2.close()
Runtime Comparison.
Though high performance is not the primary goal of StampDB, it performs significantly better than native Python libraries like tinyflux.
Runtime Comparison with tinyflux
| Operation | Speedup |
|---|---|
| Writes | 2× |
| Queries | 50× |
| Reads | 30× |
Steps to Reproduce
- Install
tinyfluxandStampDB. - Navigate to the directory containing
benchmarks.py. - Run the benchmark:
python benchmarks.py
Contributing Guidelines
- To get started on a pull request, fork the repository on GitHub, create a new branch, and make updates.
- Write unit tests, ensure the code is 100% covered, update documentation where necessary, and format and style the code correctly.
- Send a pull request.
Metadata
Release files for stampdb 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 92.1 MB
Release files / stampdb-1.0.0-cp313-cp313-win_amd64.whl
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Release files / stampdb-1.0.0-cp313-cp313-musllinux_1_2_x86_64.whl
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Release files / stampdb-1.0.0-cp313-cp313-musllinux_1_2_aarch64.whl
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Release files / stampdb-1.0.0-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
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Release files / stampdb-1.0.0-cp313-cp313-macosx_11_0_arm64.whl
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Release files / stampdb-1.0.0-cp313-cp313-macosx_10_15_x86_64.whl
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Release files / stampdb-1.0.0-cp312-cp312-win_amd64.whl
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Release files / stampdb-1.0.0-cp312-cp312-win32.whl
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Release files / stampdb-1.0.0-cp312-cp312-musllinux_1_2_x86_64.whl
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Release files / stampdb-1.0.0-cp312-cp312-macosx_11_0_arm64.whl
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| Download URL | stampdb-1.0.0-cp311-cp311-win_amd64.whl |
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Release files / stampdb-1.0.0-cp311-cp311-win32.whl
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| Download URL | stampdb-1.0.0-cp311-cp311-musllinux_1_2_x86_64.whl |
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| Download URL | stampdb-1.0.0-cp311-cp311-musllinux_1_2_aarch64.whl |
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| Download URL | stampdb-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
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| Download URL | stampdb-1.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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No |
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Release files / stampdb-1.0.0-cp311-cp311-macosx_10_15_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp310-cp310-win_amd64.whl
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No |
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twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp310-cp310-win32.whl
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp310-cp310-musllinux_1_2_x86_64.whl
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Release files / stampdb-1.0.0-cp310-cp310-musllinux_1_2_aarch64.whl
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| Uploaded via |
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Release files / stampdb-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / stampdb-1.0.0-cp310-cp310-macosx_11_0_arm64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Sep 18, 2025.
Transparency logRelease files / stampdb-1.0.0-cp310-cp310-macosx_10_15_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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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 Sep 18, 2025.
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No |
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twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp39-cp39-win32.whl
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Release files / stampdb-1.0.0-cp39-cp39-musllinux_1_2_x86_64.whl
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No |
| Uploaded via |
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Release files / stampdb-1.0.0-cp39-cp39-musllinux_1_2_aarch64.whl
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No |
| Uploaded via |
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Release files / stampdb-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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No |
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twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Uploaded via |
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Release files / stampdb-1.0.0-cp39-cp39-macosx_11_0_arm64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp39-cp39-macosx_10_15_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / stampdb-1.0.0-cp38-cp38-win_amd64.whl
| Download URL | stampdb-1.0.0-cp38-cp38-win_amd64.whl |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-win32.whl
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-musllinux_1_2_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-musllinux_1_2_aarch64.whl
| Download URL | stampdb-1.0.0-cp38-cp38-musllinux_1_2_aarch64.whl |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
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Release files / stampdb-1.0.0-cp38-cp38-macosx_11_0_arm64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp38-cp38-macosx_10_15_x86_64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp37-cp37m-win_amd64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-win_amd64.whl |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/6.2.0 CPython/3.13.7
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Release files / stampdb-1.0.0-cp37-cp37m-win32.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-win32.whl |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|
Release files / stampdb-1.0.0-cp37-cp37m-musllinux_1_2_x86_64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 3.5 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ x86-64 |
|
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 |
twine/6.2.0 CPython/3.13.7
|
Release files / stampdb-1.0.0-cp37-cp37m-musllinux_1_2_aarch64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 3.3 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ ARM64 |
|
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 |
twine/6.2.0 CPython/3.13.7
|
Release files / stampdb-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|
Release files / stampdb-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 2.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 |
|
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 |
twine/6.2.0 CPython/3.13.7
|
Release files / stampdb-1.0.0-cp37-cp37m-macosx_10_15_x86_64.whl
| Download URL | stampdb-1.0.0-cp37-cp37m-macosx_10_15_x86_64.whl |
|---|---|
| Size | 164.8 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|