Skip to main content

kardashev

PyPI PyPI Downloads License Python

Open energy data for all US ISOs. Direct access to CAISO, ERCOT, MISO, NYISO, ISONE, SPP, and PJM - no API key, no rate limits, no gridstatus dependency.

Install

pip install kardashev

Direct ISO access (no API key)

from kardashev import CAISO, ERCOT, MISO, NYISO, ISONE, SPP

# CAISO
caiso = CAISO()
df = caiso.get_fuel_mix()           # live generation by fuel type
df = caiso.get_load()               # actual grid load
df = caiso.get_lmp(market="RT")     # real-time LMP (TH_NP15 hub)
df = caiso.get_lmp(market="DA", node="TH_SP15_GEN-APND")
df = caiso.get_curtailment()        # solar + wind curtailment

# ERCOT
ercot = ERCOT()
df = ercot.get_fuel_mix()
rows = ercot.get_lmp(market="RT")   # settlement point prices (CDR)
rows = ercot.get_lmp(market="DA")   # DAM hourly prices

# MISO
miso = MISO()
df = miso.get_fuel_mix()
rows = miso.get_lmp(market="RT")    # 5-min hub prices
rows = miso.get_lmp(market="DA")    # ex-ante DA LMP

# NYISO
nyiso = NYISO()
df = nyiso.get_fuel_mix()
df = nyiso.get_lmp(market="RT")     # real-time zonal LMP
df = nyiso.get_lmp(market="DA")     # day-ahead zonal LMP

# ISONE (LMP requires ISONE_USERNAME + ISONE_PASSWORD env vars)
isone = ISONE()
df = isone.get_fuel_mix()
df = isone.get_lmp(market="RT", location=".Z.NEPOOL")

# SPP
spp = SPP()
df = spp.get_fuel_mix()
df = spp.get_lmp()                  # latest RTBM prices

Managed API (optional)

Use Client to query the Kardashev Labs API - adds carbon intensity, LMP history, interconnection queues, and 25+ more endpoints with a single hosted backend.

from kardashev import Client

kl = Client()

# Live fuel mix for CAISO
fuel = kl.fuel_mix(iso="CAISO")

# Real-time LMP hub prices for MISO
prices = kl.lmp(iso="MISO", market="RT", limit=50)

# Carbon intensity (lbs CO₂/MWh) for ERCOT
carbon = kl.carbon(iso="ERCOT")

# All nodes with latest LMP for the map view
nodes = kl.lmp_map(iso="PJM", market="RT")

Common tasks

Get today's fuel mix for all 7 ISOs in one pass:

from kardashev import Client

kl = Client()
mixes = {iso: kl.fuel_mix(iso=iso) for iso in ["CAISO", "ERCOT", "MISO", "NYISO", "ISONE", "SPP", "PJM"]}

Compare real-time LMP across ISOs:

prices = {iso: kl.lmp(iso=iso, market="RT", limit=1) for iso in ["CAISO", "ERCOT", "PJM"]}

Latest carbon intensity for every ISO in a single call:

carbon = kl.carbon_latest()

Pull an ISO's interconnection queue to a file:

kl.queue(iso="MISO").to_csv("miso_queue.csv")

Endpoints

Method Description
fuel_mix(iso) Generation by fuel type
carbon(iso) Carbon intensity (lbs CO₂/MWh)
carbon_latest() Latest carbon intensity for all ISOs
lmp(iso, market, node_id, limit) LMP price history
lmp_map(iso, market) All nodes with latest price + coordinates
lmp_hubs(iso) Hub/zone node list
load(iso) Actual grid load
load_forecast(iso) Load forecast
generation(iso) Generation by unit type
curtailment(iso) Renewable curtailment
interchange(iso) Tie-line power flows
nat_gas(hub) Natural gas spot prices
nat_gas_storage() EIA weekly storage report
weather(city) Weather observations
outages(iso) Generator outage reports
outages_summary() Total MW in outage by ISO x type
ancillary(iso, market) Ancillary service prices
ancillary_latest() Latest ancillary snapshot
nuclear_status() Nuclear plant capacity factors
nuclear_summary() Nuclear fleet capacity/output summary
emissions(iso) SO₂/NOₓ emission rates
generation_wind_solar(iso) Wind/solar generation forecast
generation_battery() Battery storage (CAISO)
generation_btm_solar() Behind-the-meter solar (NYISO)
generation_reserve_margins() Planning reserve margins
hydro_reservoirs() Reservoir storage levels
hydro_reservoirs_latest() Latest reservoir snapshot
hydro_streamflow() USGS streamflow by site
solar_irradiance() Solar irradiance by location
solar_irradiance_locations() Tracked irradiance stations
solar_irradiance_latest() Latest irradiance snapshot
queue(iso) Interconnection queue
commodities_coal() Coal prices by rank
commodities_petroleum() Petroleum spot prices
commodities_power_burn() Gas consumed for power generation
steo_forecast() EIA Short-Term Energy Outlook
carbon_markets() RGGI/WCI carbon market prices

Note: outages() (unit-level generator outages) currently returns a 500 from the hosted API - a known backend issue, not a client bug. outages_summary() works.

ISOs supported

CAISO, ERCOT, ISONE, MISO, NYISO, PJM, SPP

Custom base URL

kl = Client(base_url="https://data.kardashevlabs.org")

Comparison

kardashev gridstatus
API key required No No (direct ISO access); hosted gridstatusio client requires a key
License MIT BSD-3-Clause
US ISO coverage 7 (CAISO, ERCOT, MISO, NYISO, ISONE, SPP, PJM) 7 US ISOs + IESO, AESO (Canada), plus EIA
Hosted normalized API Yes, free, no key (Client) Yes, paid tiers (gridstatusio)
Direct ISO scrapers Yes, for 6 of 7 ISOs Yes, for all covered ISOs
Datasets 25+ 450+
Maturity Early (2026) 3+ years, funded, staffed

Use gridstatus if you need Canadian ISOs, EIA data, or the widest dataset catalog. Use kardashev if you want a free hosted API with no key for the 7 major US ISOs, or direct no-key scrapers for the same set.

License

MIT - see LICENSE.

Metadata

Release files for kardashev 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kardashev 0.3.0
File Size Uploaded
kardashev-0.3.0.tar.gz 35.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for kardashev 0.3.0
File Interpreter ABI Platform
kardashev-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 77.3 kB

Release files / kardashev-0.3.0.tar.gz

Download URL kardashev-0.3.0.tar.gz
Size 35.2 kB
Tags Source
SHA-256 checksum
How to use checksums
d5e00780d17a6697e46d1f8593e57e3199c3994fcd9d28ef747e14d84227429b
BLAKE2b-256 checksum
How to use checksums
c2996809938781792ef5596a588760d907af30739c3afcf8ce0509e92fce6b68
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.13

Release files / kardashev-0.3.0-py3-none-any.whl

Download URL kardashev-0.3.0-py3-none-any.whl
Size 42.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3b5eb4577dacc175e494205f1d1de1c2c391b1de2ea69e9c6350c409a450d1ba
BLAKE2b-256 checksum
How to use checksums
0d8a0d3871f4373df2a48eb111fd457cc605b5736bee1804aa3a9ce090c21a20
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.13

Release history Release notifications | RSS feed

0.3.2

2 release files

0.3.1

2 release files

This release

0.3.0 This release

2 release files

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page