kardashev

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")

Endpoints

ISOs supported

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

Custom base URL

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

Links

• API docs: data.kardashevlabs.org/docs
• Source: github.com/kardashev-lab/kardashev-py
• Website: kardashevlabs.org