HrFlow.ai Python SDK
Unify, Unleash, Automate Talent & Workforce Data
HrFlow.ai is the first System of Intelligence for Talent & Workforce Data, enabling leading AI-powered Talent & Workforce experiences. Our suite of APIs provide a suite of AI solutions to unleash clean, structured, normalized, updated and analyzed Talent Data with state-of-the-art seven AI modules.
Furthermore, HrFlow.ai breaks data silos and creates a single source of truth (SSOT) for Talent Data. With our API connectors, businesses can sync data between their tools in milliseconds and build customizable workflows that meet their business logic.
Our suite of APIs includes Parsing API, Tagging API, Embedding API, Searching API, Scoring API, Imaging API, and OEM Widgets. With our Automation Studio and AI Studio, businesses can utilize AI-powered user interfaces and low-code/no-code automations to create advanced custom user experiences.
💡 Help
See documentation for more examples.
🛠️ Installation
Install using pip install -U hrflow or conda install hrflow -c conda-forge.
🪄 Quick start
from hrflow import Hrflow
client = Hrflow(api_secret="YOUR_API_KEY", api_user="YOU_USER_EMAIL")
# read file from directory (in binary mode)
with open("path_to_file.pdf", "rb") as profile_file:
# Parse it using this method without reference:
response = client.profile.parsing.add_file(
source_key="INSERT_THE_TARGET_SOURCE_KEY",
profile_file=file,
sync_parsing=1, # This is to invoke real time parsing
tags=[{"name": "application_reference", "value": "TS_X12345"}], # Attach an application tag to the profile to be parsed
)
📎 Resources
- Slack for a speedy exchange of ideas between the Community and the HrFlow.ai team
- HrFlow.ai Academy on Youtube for videos on how to get started with HrFlow.ai
- Updates page to keep you informed about our product releases
- Documentation to provide information on HrFlow.ai features
- Our Roadmap to show upcoming features or request new ones
1 maintainer
Release files for hrflow 4.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hrflow-4.3.0.tar.gz | 35.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hrflow-4.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 90.4 kB
Release files / hrflow-4.3.0.tar.gz
| Download URL | hrflow-4.3.0.tar.gz |
|---|---|
| Size | 35.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a7e0018fb065cf0dfa218fb543d56bdb5c0ac96fef4966c8f69e0251a67a4707
|
|
BLAKE2b-256 checksum How to use checksums |
d871fbfe0e4d6f8a2f24774e1e29832b8ff198bf3db359a9284476084e8ad512
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / hrflow-4.3.0-py3-none-any.whl
| Download URL | hrflow-4.3.0-py3-none-any.whl |
|---|---|
| Size | 55.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e6f9a8a602c8728efbb746a4562033dc9cb9a6217b028db14e07b65dcab1e3d4
|
|
BLAKE2b-256 checksum How to use checksums |
166f1f3a2c333c8da7e83dfb3709b9f67d177718d13f7571700c9d8e360b22f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
