Pre-release

This release is a pre-release and may not be stable for production use.

py-ephemeris ("Taiyin")

Python bindings for Taiyin Ephemeris, the C++ core library.

This repository is a monorepo. It publishes the base py-ephemeris distribution from the root and optional extensions from packages/taiyin-bazi and packages/taiyin-ziwei. They install as separate Python packages while sharing one source-control history.

中文 README · Chinese guides · Accuracy and performance

GitHub repository: py-ephemeris
PyPI distribution: py-ephemeris
Python import package: taiyin

python -m pip install py-ephemeris

This is a preview release. The direct Python API is usable now, but may still gain compatible additions before the stable 1.0 release.

The package is being rebuilt as a direct pybind11 binding over the Taiyin C++ API. Python users will import native extension modules normally; they will not locate or load Taiyin DLLs manually.

The direct binding covers the current Taiyin runtime surface, including custom calculation targets, ayanamsha models, and house systems backed by Python callables.

Quick start

Planetary positions

import taiyin

eph = taiyin.Ephemeris()
ctx = eph.create_context()
instant_ut1 = taiyin.JulianDate.from_double(2460409.25)

mars = ctx.position.at_ut1(
    taiyin.Body.mars,
    instant_ut1,
    flags=(taiyin.PositionFlag.radians,),
)
state = ctx.position.state_at_ut1(taiyin.Body.mars, instant_ut1)

print("Mars longitude/latitude/distance:", mars)
print("Mars Cartesian position (AU):", state.position_au)

Ephemeris() finds the DE442-derived data bundled with the wheel automatically. The same position service also provides TT, TDB, UTC, batch, velocity, and acceleration forms.

Windows compiler policy

Published win_amd64 wheels are built with MinGW-w64 GCC, the recommended Windows x64 release toolchain for the Taiyin C++ core. win_arm64 wheels use the native ARM64 llvm-mingw Clang/LLD toolchain. MSVC is kept in the core CI as a compatibility target and is supported on a best-effort basis; it does not decide whether a Windows wheel is released.

New contexts enable light-time, annual aberration, and Sun-only gravitational deflection by default. PositionFlag.speed works with those corrections; use PositionFlag.no_aberr or PositionFlag.no_gdefl to disable one for a call. Custom multi-body deflector lists are also supported. See Positions and observers.

Solar and lunar eclipses

search_start = taiyin.AstroDateTime(2024, 1, 1).to_julian_date()

solar_eclipse = ctx.eclipses.next_solar_at_ut1(search_start)
lunar_eclipse = ctx.eclipses.next_lunar_at_ut1(search_start)

print("Next solar eclipse:", solar_eclipse.kinds, solar_eclipse.maximum)
print("Next lunar eclipse:", lunar_eclipse.kinds, lunar_eclipse.maximum)

The eclipse service also supports contact times, local circumstances, global routes and map products, and observer-specific visibility.

Chinese calendar and Ganzhi

local_time = taiyin.AstroDateTime(2003, 3, 13, 14, 15)  # UTC+08:00
instant_utc = local_time.to_julian_date().add_seconds(-8 * 3600)

# Gregorian date → Chinese lunar date.
lunar = ctx.chinese_calendar.from_solar(taiyin.SolarDate(2003, 3, 13))
print("Lunar date:", lunar)

# The same civil time and astronomical instant → year/month/day/hour pillars.
pillars = ctx.chinese_calendar.four_pillars(instant_utc, local_time)
print("Four pillars:", pillars)
print("Day NaYin:", ctx.ganzhi.nayin_element(pillars.day))

taiyin includes the Chinese calendar and Ganzhi APIs directly; this part does not need another import or extension module.

Astrology

Sidereal positions, ayanamsha, house systems, precession, and nutation are built into the base taiyin package:

import math

ctx.configuration.set_observer_location(
    taiyin.ObserverLocation(118.582, 37.449, 0.0)
)
degrees = lambda radians: math.degrees(radians) % 360.0

sun = ctx.astrology.sidereal_position_at_ut1(
    taiyin.Body.sun,
    instant_utc,
    ayanamsha=taiyin.Ayanamsha.lahiri,
)
houses = ctx.astrology.houses_at_ut1(
    instant_utc, system=taiyin.HouseSystem.porphyry
)
print("Sidereal Sun:", degrees(sun.siderealLongitudeRadians))
print("Ascendant:", degrees(houses.ascendantRadians))
print("House cusps:", [degrees(value) for value in houses.cuspLongitudesRadians])

BaZi extension

Install the separate BaZi distribution before importing taiyin_bazi:

python -m pip install py-ephemeris-bazi

import taiyin_bazi

# BaZi is created from the same Ephemeris runtime and inherits its data setup.
ctx = eph.create_context()
bazi = ctx.bazi()
result = bazi.calculate_local(
    local_time,
    gender=taiyin_bazi.BaziGender.male,
)
year_ten_god = bazi.get_ten_god(
    result.pillars.day.stem_id,
    result.pillars.year.stem_id,
)

print("Four pillars:", result.pillars)
print("Qi-Yun start:", result.qiyun.startCivilTime)
print("Qi-Yun start age:", result.qiyun.startAgeYears)
print("Year-stem Ten God:", year_ten_god)
print("Visible Ten Gods:", result.chart.visibleTenGods)

Gender is needed for the Qi-Yun direction convention, but not for the four pillars or the BaZi chart itself. Other house systems and BaZi options are listed in the API reference.

Ziwei Doushu extension

Ziwei Doushu is a separate optional native package. It shares the calculation context's Chinese-calendar policy and ephemeris data:

python -m pip install py-ephemeris-ziwei

import taiyin_ziwei

ctx = eph.create_context()
ziwei = ctx.ziwei()
chart = ziwei.calculate_local(
    taiyin.AstroDateTime(2003, 3, 13, 14, 15),
    gender=taiyin_ziwei.ZiweiGender.male,
)

life = chart.palace(taiyin_ziwei.ZiweiPalace.life)
print(chart.anchors.ziwei, [star.key for star in life.stars])

It includes natal charts, independent TOML rule selections, brightness and transformation overlays, decade through hourly flow layers, logical early/late Rat-hour navigation, and finite Tier-1 birth-time reverse lookup. See the Ziwei guide and its runnable example.

Bundled data

Ephemeris() uses the package's own taiyin/data/index.opc automatically. The default data bundle includes a DE442-derived major-body OPM2 product over approximately 1550–2650, selected precise asteroid OPM2 files, compact Saturn/Uranus center-of-body corrections, and approximate Kepler fallback elements. DE441 data are not bundled in the Python wheel; provide them through an explicit data_root or source_paths when needed. A separate optional approximately 30,000-year DE441 data package may be published later; it is not released yet. Users may also add NASA/JPL's original BSP/SPK files directly, including DE441, planetary-satellite, and small-body kernels.

The bundled lite fixed-star table is loaded automatically by Ephemeris() when packaged data are enabled. It contains 2,114 bright stars, the 28 traditional Chinese mansion determinative stars, and representative stars for the western zodiac. It remains available for explicit reload after eph.star_catalog.clear():

from pathlib import Path
import taiyin

eph = taiyin.Ephemeris()
eph.star_catalog.clear()  # optional: reset the process-wide catalog
lite_stars = Path(taiyin.__file__).resolve().parent / "data" / "stars" / "catalogs" / "lite" / "stars-bright-v5.tsc1"
eph.star_catalog.add_tsc1(str(lite_stars))

ctx = eph.create_context()
antares = ctx.stars.at_ut1("antares", taiyin.JulianDate.from_double(2460310.5))
assert ctx.last_status == 0

See bundled data, the default-data example, and the eclipse/visibility example. Task-oriented documentation is in the feature guides. The public API is documented in docs/api.md.

Start with the getting started guide for runnable planet, star, calendar, and eclipse examples. Optional-extension walkthroughs are available for BaZi and Ziwei Doushu.

Development

Source builds prefer a Taiyin C++ checkout next to this repository. If that checkout is absent—as it normally is when building from an sdist—CMake fetches the public v1.0.0-preview.1 source archive and verifies its pinned SHA-256 before compiling it into the extension. Set TAIYIN_SOURCE_DIR explicitly to develop against another local C++ checkout.

python -m venv .venv
. .venv/bin/activate
python -m pip install -U pip
python -m pip install -e ".[test]" \
  --config-settings=cmake.define.TAIYIN_SOURCE_DIR=../taiyin-ephemeris
TAIYIN_SOURCE_DIR=../taiyin-ephemeris python -m pytest

The wheel includes the same default taiyin/data directory. Ephemeris() uses its valid index.opc automatically and falls back to discovering OPM2, SPK, TKE1, and TKC1 sources below that directory when the index is missing or stale:

import taiyin

eph = taiyin.Ephemeris()
context = eph.create_context()

Pass data_root="/path/to/other/data" to select a separate or extended data set instead.

Optional or user-provided solar-system shards can additionally be supplied as files or directories through source_paths=[...]. The source-tree test suite may deliberately select a DE441 fixture to keep fixed numeric oracles independent of the default package's route priority; those test data are not part of the Python wheel.

Chinese lunar month strings

Traditional month names are normalized in Python and then validated by the configured native calendar during conversion:

import taiyin

context = taiyin.Ephemeris().create_context()
lunar = taiyin.LunarDate.from_string(2003, "九月", 1)
solar = context.chinese_calendar.from_lunar(lunar)

leap_month = taiyin.LunarDate.from_string(2023, "闰二月", 15)
historical = taiyin.LunarDate.from_string(-209, "后九月", 15)

The parser accepts 正/正月, 一 through 十二, 冬, 腊, 闰五, 后九, 拾贰, and 十三; a trailing 月 is optional. The Python parser only creates a structured LunarDate. Month existence and the actual 29/30-day limit remain native Chinese-calendar responsibilities. Invalid names, absent leap months, and days outside the selected month's length raise ValueError; ephemeris coverage and runtime failures remain runtime errors.

Development Status
- 3 - Alpha
Intended Audience
- Developers
Programming Language

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_ephemeris-1.0.0a5.tar.gz (7.1 MB view details)

Uploaded Aug 18, 2026 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

py_ephemeris-1.0.0a5-cp314-cp314-win_arm64.whl (10.9 MB view details)

Uploaded Aug 18, 2026 CPython 3.14Windows ARM64

py_ephemeris-1.0.0a5-cp314-cp314-win_amd64.whl (11.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.14Windows x86-64

py_ephemeris-1.0.0a5-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.5 MB view details)

Uploaded Aug 18, 2026 CPython 3.14manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp314-cp314-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.14macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp314-cp314-macosx_10_15_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.14macOS 10.15+ x86-64

py_ephemeris-1.0.0a5-cp313-cp313-win_arm64.whl (10.8 MB view details)

Uploaded Aug 18, 2026 CPython 3.13Windows ARM64

py_ephemeris-1.0.0a5-cp313-cp313-win_amd64.whl (11.5 MB view details)

Uploaded Aug 18, 2026 CPython 3.13Windows x86-64

py_ephemeris-1.0.0a5-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.5 MB view details)

Uploaded Aug 18, 2026 CPython 3.13manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp313-cp313-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.13macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp313-cp313-macosx_10_13_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.13macOS 10.13+ x86-64

py_ephemeris-1.0.0a5-cp312-cp312-win_arm64.whl (10.8 MB view details)

Uploaded Aug 18, 2026 CPython 3.12Windows ARM64

py_ephemeris-1.0.0a5-cp312-cp312-win_amd64.whl (11.5 MB view details)

Uploaded Aug 18, 2026 CPython 3.12Windows x86-64

py_ephemeris-1.0.0a5-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.5 MB view details)

Uploaded Aug 18, 2026 CPython 3.12manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp312-cp312-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.12macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp312-cp312-macosx_10_13_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.12macOS 10.13+ x86-64

py_ephemeris-1.0.0a5-cp311-cp311-win_arm64.whl (10.8 MB view details)

Uploaded Aug 18, 2026 CPython 3.11Windows ARM64

py_ephemeris-1.0.0a5-cp311-cp311-win_amd64.whl (11.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.11Windows x86-64

py_ephemeris-1.0.0a5-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.11manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp311-cp311-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.11macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp311-cp311-macosx_10_9_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.11macOS 10.9+ x86-64

py_ephemeris-1.0.0a5-cp310-cp310-win_arm64.whl (10.8 MB view details)

Uploaded Aug 18, 2026 CPython 3.10Windows ARM64

py_ephemeris-1.0.0a5-cp310-cp310-win_amd64.whl (11.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.10Windows x86-64

py_ephemeris-1.0.0a5-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.10manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp310-cp310-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.10macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp310-cp310-macosx_10_9_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.10macOS 10.9+ x86-64

py_ephemeris-1.0.0a5-cp39-cp39-win_arm64.whl (10.8 MB view details)

Uploaded Aug 18, 2026 CPython 3.9Windows ARM64

py_ephemeris-1.0.0a5-cp39-cp39-win_amd64.whl (11.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.9Windows x86-64

py_ephemeris-1.0.0a5-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (10.6 MB view details)

Uploaded Aug 18, 2026 CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

py_ephemeris-1.0.0a5-cp39-cp39-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl (10.4 MB view details)

Uploaded Aug 18, 2026 CPython 3.9manylinux: glibc 2.26+ ARM64manylinux: glibc 2.28+ ARM64

py_ephemeris-1.0.0a5-cp39-cp39-macosx_11_0_arm64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.9macOS 11.0+ ARM64

py_ephemeris-1.0.0a5-cp39-cp39-macosx_10_9_x86_64.whl (10.2 MB view details)

Uploaded Aug 18, 2026 CPython 3.9macOS 10.9+ x86-64

File details

Details for the file py_ephemeris-1.0.0a5.tar.gz.

File metadata

Download URL: py_ephemeris-1.0.0a5.tar.gz
Upload date: Aug 18, 2026
Size: 7.1 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for py_ephemeris-1.0.0a5.tar.gz
Algorithm	Hash digest
SHA256	`a0a289be5950b3f409bc37a93a1fce8978fcb548ba5bfd4faf2c66864c72e9ff`
MD5	`a67da79c033e2a14b034a59e3d6a9116`
BLAKE2b-256	`7838299dc54aac79cde8bfb9509fcbe1e143c397b921f6883c88633d1ea48c53`

Algorithm	Hash digest
SHA256	`572c7d1d8c7e1922f5462cb653da58f00662014ed6673e6f172afc6b69c9fe9e`
MD5	`c035d7d5008aebf876a906098387a4ee`
BLAKE2b-256	`c8f4c8529da2788663604edeca70c385b15e780b4a5d09ac184a390c72d95b9c`

Algorithm	Hash digest
SHA256	`5d879fb43b1e9550b99818c9e1750e746fd06b94adbf06d9470803e02395e42d`
MD5	`f2ac139e6b1dbfe4f185684e4d296fe2`
BLAKE2b-256	`c6af143dcc3f3c4551c386cc1f92e4df6a27d7dfb1175b945efe0805bf3d6f7c`

Algorithm	Hash digest
SHA256	`06a2918add643642f739fb83eb032cab6672ddc4acd31a15a1f3e53c19e4c2c3`
MD5	`fb1994096f2a3458848672cb1c0cdc2f`
BLAKE2b-256	`9039ad641736585b3be2e6fcb735c85801c78d2faef4c26da0ffcfecbd503ac5`

Algorithm	Hash digest
SHA256	`f0fc071ca847b5343048fd833b70270949749886592c3af6222e8bb30dfbc2ed`
MD5	`2e44db5c3e8ccefea7269870c208a285`
BLAKE2b-256	`30f3ee3a6186d82266c1b8b775ccc09046581d4f1c3378676ac8a74c2311d51c`

Algorithm	Hash digest
SHA256	`e6641299871a9cc78f88b65f91258c2f15a14e89799bb6ff9fc25bc1114faebe`
MD5	`cb3833bf733ab0e48d736469db075888`
BLAKE2b-256	`3733fe3827e9711484234bbf73b66a79497ce269651e933404905efc98d480fe`

Algorithm	Hash digest
SHA256	`e4e4c64e2f3192fa265573a7d17b8109e8661a7ba74120b13e0a2ac216c49073`
MD5	`4b84c3fa01c408c025eaf1d9fa3f51cc`
BLAKE2b-256	`98d38ad457251b53820f492e73856912d343f5de41b38e0ffc9448642b5e51a1`

Algorithm	Hash digest
SHA256	`903ede00b421a98f0307a9427665ffa9b6daf7afa0fa38921a7559555ead336e`
MD5	`facee740f6d4344b7ec6944cf088c0f5`
BLAKE2b-256	`0ddb0de8986e8c21517ba1b632bb81c8ac272ab3914caf457243eac042aa0393`

Algorithm	Hash digest
SHA256	`b462f95228524b967434f645d171197a3383f3f704d5c066caec9ee3e955811c`
MD5	`5b3f0f8102a22a435f15641fa8859890`
BLAKE2b-256	`cdffc4507a9dcb95c55212bd3f37c5a2475d035430f1d252e1dfdb25a018ed2f`

Algorithm	Hash digest
SHA256	`8e2daa40e92a200682b4d1eea65708d10bc4d8f2e6dc12fe5f0ac67850955b9e`
MD5	`9f5d39e6082c77ba20fc5d7980019e27`
BLAKE2b-256	`7fef5cb159fb009f4cb3f4414a7572cabad234408d763d7bbdc29873d6af5322`

Algorithm	Hash digest
SHA256	`e2e26fcdec42a9c4b75e4d778a7867bc67c798bf202a691e746620e6101b507a`
MD5	`45183c93a4cb31e0e14ebaabaf6f3f99`
BLAKE2b-256	`630c664034575dd99b7ca44b31e13ec60ef394732440f20f39cbcc567d101611`

Algorithm	Hash digest
SHA256	`032c6cbdc8191ebd1a10155b197cea32cea6d8c4bf6cfac7542a2a28d04afc16`
MD5	`20f0e61b7930bcccca113675052feabd`
BLAKE2b-256	`57734b224a69e1741245a3e135582adb4ed663bac2e686d327510a2bebfb59b7`

Algorithm	Hash digest
SHA256	`4d5053efb4f479b338f7adf5db42f4c8842683c8242e61b7142fe3286ddc64ef`
MD5	`07f247b43cf7d78a0df8a64ee2bea0af`
BLAKE2b-256	`615e1d189f3fe103c4a0d67cc4a4677c242af7a364ed3258ab44568ea94d23b9`

Algorithm	Hash digest
SHA256	`acf6e17bcc87dd26d484d7714407366060374b4cf5b3a380448ab166736e6d1c`
MD5	`88980740f65d2f172d08ae254ee1cad5`
BLAKE2b-256	`c9a7fe9fcd9189d62150f86f8c924f087863aec4097b809a0c664f515ee629ab`

Algorithm	Hash digest
SHA256	`57aba3bf5a6a111497dfbe91f5c55d8c49554b29e6f0b1a640f533cd4e9cd630`
MD5	`10549516a94d9dbb7ec3e6bc8bf3e573`
BLAKE2b-256	`064cb30c657caa0c0fe91b64ded4ab96f15dd507f88e9d8b68a2e513d2d3354a`

Algorithm	Hash digest
SHA256	`371e05f7c6d749a78f4206bdfd9e860fc69847c1a27fe21ed7ff646be67b09a1`
MD5	`7b495bd928ec6086ca88aae6a904aeee`
BLAKE2b-256	`0b73148bfbe052e3df2fa3ca35506d58e7ff96b7f280a66e3337e125d8f40cbd`

Algorithm	Hash digest
SHA256	`74588c8bbaae7464e966503818dd7f048531d79fa325d41c5d22a3093f7badf2`
MD5	`74e30976faa62e7a98e746204a642eb8`
BLAKE2b-256	`083ab68a16998d0c1dd291a48c04a1f454cd7511fb7a8550fbccda4007c99713`

Algorithm	Hash digest
SHA256	`8db821646410df7f2e66c8aa34aa74362507b1b06a7affc5c2056f5a80eeeaae`
MD5	`a2ea04fdf2002649938307c7d84dfda1`
BLAKE2b-256	`4f00a6b8f7364720dfbed6cbc2a7c0d37dbea663aa26e621b4c9637bccf28cb8`

Algorithm	Hash digest
SHA256	`52669de3b4ce373db89a47f078049d4c841653f6dc7487c90e51d97a401e7b6a`
MD5	`074c29974117bc7c9ce1fa0c02c46a49`
BLAKE2b-256	`129c924e16e3ed18ab2fbc641e098b3df3dacd6c9c51719f4e05007461578dde`

Algorithm	Hash digest
SHA256	`fcf84effe296ef414e88eb3bf93ba9e9cbcbb4491398832af2d8c45d25e97248`
MD5	`9acf2eac65d9d530a3167fd364a208c1`
BLAKE2b-256	`18e094d0aebc0d70a528aca518d6d90970cf901d24675823908fb8404b76403b`

Algorithm	Hash digest
SHA256	`e881c371faa81fe6baa3e67fdf010a889b8cf4dc8d0451a384916f6765463230`
MD5	`8ff65d17ef387ae4b523d9b2add7d139`
BLAKE2b-256	`d3e40c4e1bbbc64ec2b4f3f61b62a06c56e79b91fb3d265f85a7df974e5368f8`

py-ephemeris 1.0.0a5

py-ephemeris ("Taiyin")

Quick start

Planetary positions

Windows compiler policy

Solar and lunar eclipses

Chinese calendar and Ganzhi

Astrology

BaZi extension

Ziwei Doushu extension

Bundled data

Development

Chinese lunar month strings

Project links

Key dates

1 maintainer

Credits

GitHub Statistics

License expression

Requires

Provides Extra

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`dc90ffbee78b6b363297ae5d15cdc37034dc92d2bb2bb02b28efc80ebd02d58c`
MD5	`e1212ac12e2a23635c27ce3e75be42d8`
BLAKE2b-256	`0e5ab56f3a9c97769c2e6b6147c2bec0d2c2904bfa2412d153c722b93591e12f`

Algorithm	Hash digest
SHA256	`2030f8ac2e4ce74eded3ee4b863b03133cef53ad9bf1312b44f47c9a5342d83d`
MD5	`8e5e37335bb977d5d6c832591ecc3c4a`
BLAKE2b-256	`daff308a89dd8a0349584d527306649bb08323c739c239ef44ca6d88cdb01d0d`

Algorithm	Hash digest
SHA256	`5b8bab4a75e88dab7e397f1ecb37e7d0bd44218e7a8aa350ad8fc8f0fa1947de`
MD5	`6780e58569a88375740a8b0a06747984`
BLAKE2b-256	`a76dc2628b46c3fb85de95d14c3039df31842366d4e0228c33f441afff1cee72`

Algorithm	Hash digest
SHA256	`d42b285d2c4d4911f24fb329de374044da5f264526ea7cba7a2b7e1e54b39cc2`
MD5	`ed681a29eff0783b04804d31a3239ffb`
BLAKE2b-256	`29a2389e49a41fcad89366f86de304f6d3679cc8bd6ca962956a79fab0802d1f`

Algorithm	Hash digest
SHA256	`bc2bba77994d1cba08699c50309b097f033515161d45387995b4b1851dc0aa7c`
MD5	`3256f0d957cb080d737a4bcb05b127de`
BLAKE2b-256	`c9c4ddd0c827de9a96f99563d0e4e1b9ebec99a1a7aa0a15b44d11c487eb793b`

Algorithm	Hash digest
SHA256	`06810fca0703e2b016588a717b10f3f238734de19e93d23985cb43181c486101`
MD5	`43254bd0410d83e4921a30808770770e`
BLAKE2b-256	`460a122d0bdf7eee38e68a3feededa93645914f9307f5158856bdf21d56856e4`

Algorithm	Hash digest
SHA256	`10f0f7eae289932d1907d2cde6dd8cdd80975ce5cc558e83453854f8a8df0f4d`
MD5	`9c01665e65b2e3c3cf2612dd4130695e`
BLAKE2b-256	`17f1afef78a786cba353dba1356a9b906c3bb4302454717b724a21e7ffbf4931`

Algorithm	Hash digest
SHA256	`2ee255a9298d80da77fbd9435adc11e921b8808a786559791a7592237f13dbd7`
MD5	`4706447ab2489fe773c4bb975bc8b060`
BLAKE2b-256	`768115d400084244d768dc350741bd188a150a51b2b69caa0a92aababd0520eb`

Algorithm	Hash digest
SHA256	`8ba75b714f04e254691acb4d1338276c3eed483e5c3a012456e2612a2d5b7aab`
MD5	`1c33c45499849283b42310c7665eeadb`
BLAKE2b-256	`16db687cc684e5926d449e2554a417905770546cb594a7cc8771219471934d5e`

Algorithm	Hash digest
SHA256	`586a02dfb263972d52195ce4dc9a20c92b18d7a4a71bee1a1fd1cdbf786001fc`
MD5	`48a75b303dc1f6422e72e488b8f87884`
BLAKE2b-256	`d9159af4d19bb128024b9517bca68132baa9a5ec64f1f6834d22c037c6ba2947`