Benchling alternative · Built for data-heavy labs
The Benchling alternative built around your lab data.
Every core action in Scispot is available through the REST API. Run Python, Jupyter and R on your data, search samples and results in one place, and track every aliquot from parent to child, down to the freezer slot.
- Walkthrough with your data and workflows
- Open REST API and webhooks
- Benchling migration handled in implementation
The delivery team would stay with the practical issues that matter in day-to-day operations.
Ally Hirsch, Scientist & Regulatory Technical Lead
- Data access
- REST API + webhooks
- Compute
- Python · Jupyter · R
- Search
- Samples, files, results
- Locations
- Freezer › rack › box › slot
- Sample workflows
- Aliquots + lineage
Every core GUI action is available via the API
Trusted by biotech, diagnostics and research teams
Trusted by biotech, diagnostics and research teams
Why teams compare us
Five things data-heavy labs look for when they evaluate Benchling alternatives
Teams tell us they want their lab data to be easy to compute on, query, find and trace. Here's how Scispot handles each one.
Compute where your data lives
Run Python scripts, Jupyter notebooks and R Studio on your lab data inside Scispot, then push processed results back to Labsheets.
API-first, not API-later
Every core action in the GUI is available through the REST API, with webhooks and scoped API keys. Public docs at docs.scispot.com.
Find anything by metadata
Search samples, notes, reports and data by location or metadata, or ask Scibot in plain language for samples, experiments and files.
Know the exact slot
Freezer, rack, box and position for every sample, with interactive freezer maps, barcode check-in/out and a full movement history.
Aliquots with lineage built in
Create aliquots and child samples automatically, run serial dilutions, and keep parent-child lineage on every derivative.
Data access
Your lab data, one API call away
Scispot treats the API as the product. Your computational team can automate, integrate and analyze without waiting on a services project.
- REST endpoints for Labsheets, ELN, plates, boxes, racks, locations and sequences
- Filter rows by any column, push events in with webhooks
- Pull data into Jupyter, run QC, write results back
# Aliquot a parent into two children API = "https://cloudlab.scispot.io" requests.post( API + "/labsheets/create-children", headers={"Authorization": "Bearer <API_KEY>"}, json={"labsheet": "Sample Manager", "parent": "SMPL000001", "children": [{"quantity": 1}, {"quantity": 1}]})
From docs.scispot.com · Create Children Samples
The switch path
A planned move, not a big-bang migration
Map
Workflows, data model, Benchling migration scope and the first outcome we'll own together.
Connect
Instruments and existing systems, running alongside what you have.
Activate
First measurable outcome live, with training for the whole team.
Migration agents
Your Benchling migration is part of implementation
We make the move easy. Our team scopes your migration with you, and Scibot routes the work to specialized migration agents that move your Benchling data. You don't have to move everything on day one.
- Analyze schemas and map custom fields
- Flag unresolved issues and show the migration plan
- Stream progress and resume if interrupted
“Move our antibody library from Benchling.”
- Analyze schemaDone
- Map custom fieldsDone
- Flag issues for reviewReview
- Run and stream progressRunning
Example request
See Scispot on your own data
A 20-minute walkthrough with your data and workflows: how they map to Scispot, what you can automate, and a 30/60/90-day plan.
- 4.9/5 on G2
- Migration handled in implementation
- Unlimited users
Up to a $20K implementation credit for qualifying labs.