Conical pendulum
API · /pendulum-api
Pendulum Calculator API
Gravity-driven pendulum maths as an API, computed locally and deterministically. The simple endpoint computes the period of a simple pendulum, T = 2π·√(L/g), together with its frequency and angular frequency, and solves for the length needed to give a target period — with an optional large-amplitude correction (the first two terms of the amplitude series) for swings where the small-angle approximation no longer holds. The physical endpoint handles a compound (physical) pendulum — any rigid body swinging about a pivot — from its moment of inertia about the pivot, its mass and the distance from the pivot to its centre of mass, T = 2π·√(I/(m·g·d)), and reports the equivalent simple-pendulum length I/(m·d). The conical endpoint solves a conical pendulum, a bob sweeping a horizontal circle, T = 2π·√(L·cosθ/g), giving the radius of the circle, the speed of the bob, the angular velocity and — with a mass — the string tension m·g/cosθ and the centripetal force. Everything is an idealised system under constant gravity with no air resistance or string mass, computed locally and deterministically, so it is instant and private. Ideal for physics-education and engineering tools, clock and metronome design, swing and amusement-ride dynamics, and STEM teaching. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is gravity-pendulum dynamics; for spring-mass-damper vibration use a vibration API, for rotational kinetic energy use a flywheel API.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 82 ms
- Server probes · 24h
- Subscribers
- 3,073
- active
- Total calls
- 76
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,000 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- Simple pendulum period T = 2pi*sqrt(L/g)
- Adjustable length and gravity inputs
- Deterministic, instant JSON response
Starter
€5.00 /month
- 25,000 calls / month
- 5 requests / second
- Hard cap (429 above quota, no overage)
- Period plus frequency and angular frequency
- Custom gravity for any planet or body
- No rate spikes for classroom apps
- Email support
Pro
€15.00 /month
- 150,000 calls / month
- 15 requests / second
- Hard cap (429 above quota, no overage)
- Small-angle and large-angle (elliptic) period correction
- Energy and max-velocity outputs
- Batch length sweeps in one call
- Priority support
Mega
€49.00 /month
- 779,000 calls / month
- 40 requests / second
- Hard cap (429 above quota, no overage)
- Full kinematics: displacement, velocity, acceleration over time
- Damped and driven pendulum modelling
- High-throughput for simulations and ed-tech platforms
- Dedicated support SLA
Built by
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api.oanor.com/isotopes-api
Hot Air Balloon Lift API
Hot-air-balloon lift maths as an API, computed locally and deterministically — the thermal-lift, envelope-temperature and air-density numbers a balloon pilot, designer or physics teacher works a flight out with. The lift endpoint gives the buoyant lift from heating the air: gross lift = envelope volume × (outside air density − inside air density), the densities from the ideal-gas law — a 2,500 m³ envelope at 100 °C on a 15 °C day lifts about 698 kg gross, from which you subtract the envelope, basket, burner and fuel for the payload, and the hotter the air and colder the day the more it lifts. The required-temp endpoint inverts it: to carry a target lift the inside air must reach a particular density and so a particular temperature, with a check that it stays under the ~120 °C that nylon envelopes can take — the everyday pre-flight question of whether the balloon can lift today's crew and fuel. The air-density endpoint gives the moist-air density ρ = (P − 0.378·Pv) ÷ (R·T), and explains the counter-intuitive fact that humid air is LESS dense than dry air, slightly cutting the lift. Everything is computed locally and deterministically, so it is instant and private. Ideal for ballooning and aviation tools, STEM and physics-education apps, and buoyancy calculators. Pure local computation — no key, no third-party service, instant. Idealised dry-lift model. 3 compute endpoints. For Archimedes flotation in water use a buoyancy API; for party-balloon helium lift a balloon API.
api.oanor.com/hotairballoon-api
Vacuum Technology API
Vacuum-technology maths as an API, computed locally and deterministically — the pump-down, boiling and pressure numbers a lab tech, process engineer or vacuum hobbyist works to. The pumpdown endpoint gives the ideal time to evacuate a chamber, t = (volume ÷ pump speed) × ln(start ÷ target pressure) — a 10-litre chamber on a 5 L/s pump drops from 1000 to 1 mbar in about 14 seconds in theory, though outgassing and falling pump speed stretch the real low-pressure stage. The boiling-point endpoint gives the temperature water boils at under reduced pressure from the Antoine equation: about 100 °C at sea level, but only ~52 °C at 100 mbar and ~46 °C at 100 mbar — the physics behind vacuum degassing, freeze-drying and high-altitude cooking. The level endpoint converts a pressure across the common vacuum units (mbar, Torr/mmHg, Pa, kPa, inHg, atm, psi), reports the percent vacuum relative to atmosphere, and names the regime — rough, medium, high or ultra-high vacuum — so you know which pump and gauge the job needs. Everything is computed locally and deterministically, so it is instant and private. Ideal for vacuum-lab and process apps, pump-sizing and degassing tools, semiconductor and coating calculators, and physics teaching. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. Ideal estimates — real systems are slowed by outgassing and leaks.
api.oanor.com/vacuum-api
Center of Mass API
Centre-of-mass and barycentre mechanics as an API, computed locally and deterministically. The point-masses endpoint computes the centre of mass of a system of point masses in one, two or three dimensions, applying x_com = Σ(m_i·x_i)/Σm_i to each axis from a list of masses and their x (and optional y and z) coordinates — masses of 1, 2 and 3 at positions 0, 1 and 2 give a centre of mass at 1.333, and four equal masses at the corners of a square sit at its centre. The two-body endpoint computes the barycentre of two masses separated by a distance, r1 = d·m2/(m1+m2) from the first body, which always lies closer to the heavier one — for the Earth-Moon system the barycentre is about 4 670 km from Earth’s centre, still inside the planet. Lists may be passed as comma-separated values (masses=1,2,3&x=0,1,2) or as JSON arrays in a POST body, and units are consistent and unit-agnostic. Everything is computed locally and deterministically, so it is instant and private. Ideal for physics, engineering-statics, astronomy, robotics, game-physics and mechanics-education app developers, balance-point and barycentre tools, and simulation software. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 2 endpoints. This is the centre of mass; for the rotational moment of inertia use a moment-of-inertia API.
api.oanor.com/centerofmass-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Pendulum Calculator API?
What's the rate limit for Pendulum Calculator API?
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Is Pendulum Calculator API GDPR-compliant?
Pick an endpoint from the list on the left to see its details and try it.
Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/pendulum-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/pendulum-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/pendulum-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/pendulum-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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